{"as_of":"2026-08-11T05:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:af089c7cce2de60bc4ff003380ac68c69c58d8b8249a73f225eb99e25c1395e5","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T11:50:26.030339Z","state":"measured"},{"denominator":114,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":114,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":104,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:18:23.605197Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-10T22:18:23.605197Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.arXiv preprint arXiv:2408.05147,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.02045","last_updated":"2025-01-03T18:44:43Z","snapshot_observed_at":"2026-08-10T22:12:18.524765Z","submitted_at":"2025-01-03T18:44:43Z","title":"METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:18:23.605197Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2501.02045"},"observation_digest":"sha256:6613674bdbc01d3c9d01a7d816c34604d701ce0d6592cdc58033a1619decd763","observation_id":"3962a406-2cc0-47e6-80aa-8ccc0d3ecc62","resolution":{"observed_at":"2026-08-10T22:18:23.605197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-10T21:28:15.942151Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.06254","last_updated":"2025-02-18T17:10:39Z","snapshot_observed_at":"2026-08-11T00:14:04.887753Z","submitted_at":"2025-01-09T02:54:19Z","title":"Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T21:28:15.942151Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2501.06254"},"observation_digest":"sha256:6a194284e1a00d6de05f8df39998bbc554f1559e1b9e9cda240018f8959d56ef","observation_id":"de2a5c91-fb68-4c4e-b887-448a37b15947","resolution":{"observed_at":"2026-08-10T21:28:15.942151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-10T11:58:37.077293Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.16615","last_updated":"2025-01-29T19:18:45Z","snapshot_observed_at":"2026-08-10T11:51:24.529326Z","submitted_at":"2025-01-28T01:24:16Z","title":"Sparse Autoencoders Trained on the Same Data Learn Different Features","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T11:58:37.077293Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2501.16615"},"observation_digest":"sha256:fb3037adfd40ae07f05df0577e61e7bb97bb55738702c0381b36488ea7eac858","observation_id":"d6d8fbe5-0347-4fd7-b6d7-14cc6fe30d10","resolution":{"observed_at":"2026-08-10T11:58:37.077293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-09T20:18:30.973761Z","title":"Accessed: 2025-01-30","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2501.19406","last_updated":"2025-05-27T06:39:54Z","snapshot_observed_at":"2026-08-09T20:10:52.723666Z","submitted_at":"2025-01-31T18:59:16Z","title":"Low-Rank Adapting Models for Sparse Autoencoders","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T20:18:30.973761Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2501.19406"},"observation_digest":"sha256:21c634f8e1b078bcfe0f06833183d275d6425af2972d018b743a299a357a3b3d","observation_id":"8bcccf64-82e2-4530-bbbd-df27963c3d67","resolution":{"observed_at":"2026-08-09T20:18:30.973761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-09T20:10:32.789781Z","title":"Available: https://arxiv.org/abs/2408.05147","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00127","last_updated":"2025-01-31T19:21:43Z","snapshot_observed_at":"2026-08-10T19:34:40.195289Z","submitted_at":"2025-01-31T19:21:43Z","title":"Sparse Autoencoder Insights on Voice Embeddings","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-09T20:10:32.789781Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2502.00127"},"observation_digest":"sha256:544b09484068d24f4cfe3926969f57f4b8771d3ebc037294c60cc7e1782bc9bc","observation_id":"295d5822-a12f-4c41-9406-d985907c68e6","resolution":{"observed_at":"2026-08-09T20:10:32.789781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-09T10:11:51.766856Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03032","last_updated":"2025-07-24T21:16:27Z","snapshot_observed_at":"2026-08-10T02:30:42.809107Z","submitted_at":"2025-02-05T09:39:34Z","title":"Analyze Feature Flow to Enhance Interpretation and Steering in Language Models","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-09T10:11:51.766856Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2502.03032"},"observation_digest":"sha256:44e34138afada447abfcb3e351967494d1f9c2d8dd6f1309d3817f0b3baf223e","observation_id":"3eaf50f9-ab4e-48a8-a132-b22b001828b1","resolution":{"observed_at":"2026-08-09T10:11:51.766856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-08T21:12:13.846998Z","title":"Johnny Lin","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.04878","last_updated":"2025-02-07T12:33:08Z","snapshot_observed_at":"2026-08-10T11:45:33.745155Z","submitted_at":"2025-02-07T12:33:08Z","title":"Sparse Autoencoders Do Not Find Canonical Units of Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T21:12:13.846998Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2502.04878"},"observation_digest":"sha256:edb989f4923e90bec0081a97bcb7306fa38b9691eafe5d4ea125d37a4bd020d5","observation_id":"3815e31b-4fd3-4f2d-84e6-28efbfb6b15c","resolution":{"observed_at":"2026-08-08T21:12:13.846998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-08T21:06:55.960754Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05242","last_updated":"2026-05-27T09:11:42Z","snapshot_observed_at":"2026-08-08T20:58:31.381100Z","submitted_at":"2025-02-07T13:25:33Z","title":"Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T21:06:55.960754Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2502.05242"},"observation_digest":"sha256:ee867b58e1ac7f5a3eb96aa2032ae1a1d0af02d239cbcf567f3b88c64a7d3827","observation_id":"fa921c34-69a1-4f13-bb2a-16033b96982f","resolution":{"observed_at":"2026-08-08T21:06:55.960754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-08T04:54:39.330610Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.arXiv preprint arXiv:2408.05147,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08524","last_updated":"2025-02-12T16:00:11Z","snapshot_observed_at":"2026-08-08T04:44:23.355074Z","submitted_at":"2025-02-12T16:00:11Z","title":"LLM Pretraining with Continuous Concepts","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T04:54:39.330610Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2502.08524"},"observation_digest":"sha256:f44e073b771fd029ed7c262c22df5b19b9a27cd998ce2bc1915d73880e86565e","observation_id":"4e812e43-1633-4be2-9ae8-9156c926c1da","resolution":{"observed_at":"2026-08-08T04:54:39.330610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2502.14888","last_updated":"2026-04-25T16:29:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-16T14:51:07Z","title":"Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-23T02:53:34.960236Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2502.14888"},"observation_digest":"sha256:60e191d3ccc9b05ed556f51dd2492be5a4b829cacc24c4ac4c6c70160687640a","observation_id":"86dbdc20-721d-4972-aeb1-632c337a0e29","resolution":{"observed_at":"2026-05-23T02:55:19.743502Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T15:40:06.584693Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14352","last_updated":"2025-05-20T13:36:37Z","snapshot_observed_at":"2026-08-11T03:34:17.750751Z","submitted_at":"2025-05-20T13:36:37Z","title":"Towards eliciting latent knowledge from LLMs with mechanistic interpretability","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T15:40:06.584693Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2505.14352"},"observation_digest":"sha256:d99874b477c7b2a055f96fb2f8b9975415d5eea4cdaf4d86d2a8c1a6486f5cc7","observation_id":"13023214-b0bf-4312-be60-747afb101da2","resolution":{"observed_at":"2026-08-07T15:40:06.584693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T15:30:21.356728Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15038","last_updated":"2025-07-29T21:40:42Z","snapshot_observed_at":"2026-08-11T04:37:00.321519Z","submitted_at":"2025-05-21T02:45:11Z","title":"Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T15:30:21.356728Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2505.15038"},"observation_digest":"sha256:c125dabb95982600c29e20dd78cb6de994d4d89c3dcd0cdb942e7d40f493e8be","observation_id":"201a46ff-68fa-4b96-95bd-71bb9cfebe6b","resolution":{"observed_at":"2026-08-07T15:30:21.356728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T15:17:15.847691Z","title":"Advances in Neural Information Processing Systems, 37:83091–83118","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15634","last_updated":"2025-07-12T09:42:16Z","snapshot_observed_at":"2026-08-10T11:46:31.963920Z","submitted_at":"2025-05-21T15:17:59Z","title":"Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:17:15.847691Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2505.15634"},"observation_digest":"sha256:80d1a5d9a669272a9f84365a78a3d3bc11116714234a5f1dc0871d89d3840891","observation_id":"b6963240-da6c-4b85-9e44-ac92f5018386","resolution":{"observed_at":"2026-08-07T15:17:15.847691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T15:04:54.767562Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16505","last_updated":"2025-05-22T10:41:35Z","snapshot_observed_at":"2026-08-10T17:42:05.999973Z","submitted_at":"2025-05-22T10:41:35Z","title":"Sparse Activation Editing for Reliable Instruction Following in Narratives","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T15:04:54.767562Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2505.16505"},"observation_digest":"sha256:d6d3499091c23a8a582e4bd7c01d81eb8666d67468a21975583dea8be38368a7","observation_id":"921c1e0c-2bbc-40d4-ad40-2bfa05367e1a","resolution":{"observed_at":"2026-08-07T15:04:54.767562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T14:44:42.856429Z","title":"Lindsey, J., Templeton, A., Marcus, J., Conerly, T., Batson, J., and Olah, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17769","last_updated":"2025-06-12T11:54:13Z","snapshot_observed_at":"2026-08-10T17:21:02.901066Z","submitted_at":"2025-05-23T11:41:41Z","title":"Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:42.856429Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2505.17769"},"observation_digest":"sha256:8062c1da778244f4a069cf3bbb3dded322817bb695031deee1a31a222698920c","observation_id":"bb2d5175-7072-4bf8-8535-571c78840d20","resolution":{"observed_at":"2026-08-07T14:44:42.856429Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T13:41:57.703508Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21399","last_updated":"2025-05-27T16:24:02Z","snapshot_observed_at":"2026-08-09T17:19:27.700339Z","submitted_at":"2025-05-27T16:24:02Z","title":"Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T13:41:57.703508Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2505.21399"},"observation_digest":"sha256:a2582371661e330f1d6bdae334cc5a99a8e6ff38fd363bf2aa9bfcecc61dd714","observation_id":"43462163-784f-44bf-9fc6-bb51c38f0bd3","resolution":{"observed_at":"2026-08-07T13:41:57.703508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T12:51:06.983803Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23556","last_updated":"2025-05-29T15:33:39Z","snapshot_observed_at":"2026-08-07T12:41:07.052091Z","submitted_at":"2025-05-29T15:33:39Z","title":"Understanding Refusal in Language Models with Sparse Autoencoders","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T12:51:06.983803Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2505.23556"},"observation_digest":"sha256:62891a94592307742ca5318b0d4cf37e50856fde323a67452f0fea87abbaa678","observation_id":"1a18718c-642b-4d93-bcfb-27f9fa7b5b9a","resolution":{"observed_at":"2026-08-07T12:51:06.983803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T12:07:10.502533Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00653","last_updated":"2025-06-04T19:24:26Z","snapshot_observed_at":"2026-08-08T10:11:59.833732Z","submitted_at":"2025-05-31T17:45:18Z","title":"Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T12:07:10.502533Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2506.00653"},"observation_digest":"sha256:e933b3eaeaf5504e39ef3f4b4e4d1dd658ce93a44fe24c53cee222753d0498ee","observation_id":"804b3db4-8e99-435d-a6c0-0ffb280dc208","resolution":{"observed_at":"2026-08-07T12:07:10.502533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T11:56:15.189378Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.01197","last_updated":"2025-06-01T22:20:07Z","snapshot_observed_at":"2026-08-10T06:48:33.503354Z","submitted_at":"2025-06-01T22:20:07Z","title":"Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:56:15.189378Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2506.01197"},"observation_digest":"sha256:5fe82943280bc1ced67f37d12f6f4663801455345eda611292254593533b2ffd","observation_id":"18c34387-d8b4-40a1-b02d-8d4dfa162506","resolution":{"observed_at":"2026-08-07T11:56:15.189378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T11:32:31.922004Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02204","last_updated":"2025-06-09T23:17:27Z","snapshot_observed_at":"2026-08-08T08:54:59.875781Z","submitted_at":"2025-06-02T19:44:06Z","title":"BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T11:32:31.922004Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2506.02204"},"observation_digest":"sha256:73564fe54b8267032568127360703a717030f8c5bd0a71b25a34e99cfc9f0492","observation_id":"6190e1b7-d4ce-4800-9123-c51396bdc8d4","resolution":{"observed_at":"2026-08-07T11:32:31.922004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T11:11:18.493936Z","title":"Dragan, Rohin Shah, and Neel Nanda","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03292","last_updated":"2025-06-03T18:32:01Z","snapshot_observed_at":"2026-08-07T21:57:37.609091Z","submitted_at":"2025-06-03T18:32:01Z","title":"HyperSteer: Activation Steering at Scale with Hypernetworks","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:11:18.493936Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2506.03292"},"observation_digest":"sha256:8f66bf748c98de2e80ab7df2f33698211de4ce9ecc83ad602aba99f59e889b85","observation_id":"e4aa4638-5bda-425b-8ba2-001026c5dad3","resolution":{"observed_at":"2026-08-07T11:11:18.493936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T10:24:26.412268Z","title":"Https://hdsr.mitpress.mit.edu/pub/aelql9qy","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05451","last_updated":"2025-06-05T17:56:05Z","snapshot_observed_at":"2026-08-09T11:07:48.259327Z","submitted_at":"2025-06-05T17:56:05Z","title":"Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:26.412268Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2506.05451"},"observation_digest":"sha256:da4c1a33c6347e2c384e40de764f0460a23d0d992f5eee33f10c6190e4418096","observation_id":"9d704216-f085-43b4-ad3d-bf434267d1ac","resolution":{"observed_at":"2026-08-07T10:24:26.412268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T05:44:34.843022Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.arXiv preprint arXiv:2408.05147,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07406","last_updated":"2026-07-06T04:18:12Z","snapshot_observed_at":"2026-08-09T08:30:35.837462Z","submitted_at":"2025-06-09T03:59:28Z","title":"InverseScope: Scalable Activation Inversion for Interpreting Large Language Models","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:44:34.843022Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2506.07406"},"observation_digest":"sha256:15c7140e51d9f89625e4c842777155218ac0acd1566375c2986ba9249b73d1ba","observation_id":"99ca24ad-20bb-4290-94dc-230070a0d686","resolution":{"observed_at":"2026-08-07T05:44:34.843022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T05:34:17.079488Z","title":"https://github.com/jbloomAus/ SAELens","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2506.07691","last_updated":"2026-07-20T17:18:47Z","snapshot_observed_at":"2026-08-07T20:58:56.473566Z","submitted_at":"2025-06-09T12:23:34Z","title":"Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T05:34:17.079488Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2506.07691"},"observation_digest":"sha256:fbd44cd7a4198bc9b6a02dbdf58e25718040a441ae1c7d6c8159426a711222a2","observation_id":"8c1c0a91-2136-4f85-8932-070813fb987f","resolution":{"observed_at":"2026-08-07T05:34:17.079488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T01:06:07.108965Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11976","last_updated":"2025-06-22T00:39:23Z","snapshot_observed_at":"2026-08-09T16:06:21.482138Z","submitted_at":"2025-06-13T17:34:05Z","title":"How Visual Representations Map to Language Feature Space in Multimodal LLMs","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T01:06:07.108965Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2506.11976"},"observation_digest":"sha256:746bed6a57b454d96061e9c7867d0c26ff3e57dafd310918035415a39e90028b","observation_id":"bc6efdc3-a151-4fdc-8221-4521bf9c9819","resolution":{"observed_at":"2026-08-07T01:06:07.108965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-07T04:46:01.200322Z","title":"Small World of Words","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13978","last_updated":"2025-06-11T14:42:30Z","snapshot_observed_at":"2026-08-07T04:37:42.873513Z","submitted_at":"2025-06-11T14:42:30Z","title":"AI shares emotion with humans across languages and cultures","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T04:46:01.200322Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2506.13978"},"observation_digest":"sha256:b90786de008d4bc39d766283a4cfdb7bf9442fbc467a2ed694e4bff1f635fe1e","observation_id":"fc1d7192-3f62-4e02-bc7b-2d7da1688571","resolution":{"observed_at":"2026-08-07T04:46:01.200322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-06T21:13:12.903707Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00711","last_updated":"2025-07-01T12:14:22Z","snapshot_observed_at":"2026-08-07T07:21:03.621965Z","submitted_at":"2025-07-01T12:14:22Z","title":"Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T21:13:12.903707Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2507.00711"},"observation_digest":"sha256:d006fa5d43bf77c553ed1a8af2b3a650b32acf77513c67c181b9fcb0c66111f0","observation_id":"2ea5ab97-a966-4569-b43e-1040cb7710ba","resolution":{"observed_at":"2026-08-06T21:13:12.903707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-06T18:24:51.490925Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08473","last_updated":"2025-07-11T10:31:53Z","snapshot_observed_at":"2026-08-09T04:21:05.525989Z","submitted_at":"2025-07-11T10:31:53Z","title":"Evaluating SAE interpretability without explanations","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T18:24:51.490925Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2507.08473"},"observation_digest":"sha256:8bb6206a6d2bcb19019b2c7712e5140ab0e606f8a62c31cda54fed42a3f4ad77","observation_id":"e207ae10-aca5-4ae7-bb5b-b35637abd0ca","resolution":{"observed_at":"2026-08-06T18:24:51.490925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-06T16:51:53.376696Z","title":"arXiv preprint arXiv:2408.05147 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12464","last_updated":"2025-07-16T17:59:32Z","snapshot_observed_at":"2026-08-10T12:18:45.364300Z","submitted_at":"2025-07-16T17:59:32Z","title":"CytoSAE: Interpretable Cell Embeddings for Hematology","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:51:53.376696Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2507.12464"},"observation_digest":"sha256:bde4739d064a6b7dc58697521bc204637649180d025f1a9de6c01d4baf6be5ef","observation_id":"cf8dedc7-26c3-46b1-97a6-22baaf200c9c","resolution":{"observed_at":"2026-08-06T16:51:53.376696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-06T16:40:42.550922Z","title":"G emma S cope: Open sparse autoencoders everywhere all at once on G emma 2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12950","last_updated":"2025-07-18T09:19:19Z","snapshot_observed_at":"2026-08-08T08:02:10.889574Z","submitted_at":"2025-07-17T09:43:20Z","title":"Insights into a radiology-specialised multimodal large language model with sparse autoencoders","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T16:40:42.550922Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2507.12950"},"observation_digest":"sha256:92bc1f0241c4d6462d28f57527dc6382843482312b91f3a653c7dcbafa894135","observation_id":"eaa66d1c-5b33-4e63-bb8b-4d5c3b84a061","resolution":{"observed_at":"2026-08-06T16:40:42.550922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-06T15:42:41.152355Z","title":"arXiv preprint arXiv:2408.05147 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15227","last_updated":"2025-08-15T19:18:28Z","snapshot_observed_at":"2026-08-09T11:11:14.120530Z","submitted_at":"2025-07-21T03:59:21Z","title":"Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:42:41.152355Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2507.15227"},"observation_digest":"sha256:67b66d266085be125ce8e8e46e38e2d6bbfa2f0f57ba7305725402536090f941","observation_id":"fb72a4dd-16ea-4280-b27f-ad96476289fb","resolution":{"observed_at":"2026-08-06T15:42:41.152355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-06T15:24:45.755574Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15977","last_updated":"2025-07-21T18:17:18Z","snapshot_observed_at":"2026-08-08T15:45:05.019347Z","submitted_at":"2025-07-21T18:17:18Z","title":"On the transferability of Sparse Autoencoders for interpreting compressed models","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T15:24:45.755574Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2507.15977"},"observation_digest":"sha256:c7b895c05dcbec9fd8ca1a31ebc4bbe767ea1f1f44a7bc47d617caaa703f5bb0","observation_id":"ba8ef8f1-9b1d-48bd-96f6-4a8756cb9402","resolution":{"observed_at":"2026-08-06T15:24:45.755574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-06T15:23:46.349160Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16069","last_updated":"2025-07-21T21:09:45Z","snapshot_observed_at":"2026-08-08T00:38:41.970467Z","submitted_at":"2025-07-21T21:09:45Z","title":"Interpreting CFD Surrogates through Sparse Autoencoders","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:23:46.349160Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2507.16069"},"observation_digest":"sha256:1bcab916b5eaa3369b262fe0a8c624d3f49ddcd8779bf5fc68a4eb971daa4404","observation_id":"f5b1c08f-59e9-4a98-a36a-f00849e83316","resolution":{"observed_at":"2026-08-06T15:23:46.349160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T23:01:47.423261Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.arXiv:2408.05147, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06014","last_updated":"2025-08-08T05:01:17Z","snapshot_observed_at":"2026-08-09T03:19:24.825871Z","submitted_at":"2025-08-08T05:01:17Z","title":"ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T23:01:47.423261Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2508.06014"},"observation_digest":"sha256:4460e4f24f11fb700eae8b0a61c05d4f3f0fff9168a1df5dd18f871d0f1bc3e8","observation_id":"5a19e2ca-fe04-4979-aa2a-b105f0bbeb6d","resolution":{"observed_at":"2026-08-05T23:01:47.423261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T18:47:45.256443Z","title":"URL https://arxiv.org/abs/2408.05147","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.18235","last_updated":"2025-08-20T00:57:21Z","snapshot_observed_at":"2026-08-05T18:44:01.835548Z","submitted_at":"2025-08-20T00:57:21Z","title":"Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T18:47:45.256443Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2508.18235"},"observation_digest":"sha256:9aad607287e195577537e8d2c4a0407174f009b485c7fe0f64a562db4ea97e60","observation_id":"bf60ead4-74c7-401f-bd58-7027e581ca26","resolution":{"observed_at":"2026-08-05T18:47:45.256443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2509.18127","last_updated":"2026-04-14T10:00:44Z","snapshot_observed_at":"2026-08-02T17:25:00.233548Z","submitted_at":"2025-09-11T11:22:43Z","title":"Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-18T18:13:01.662828Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2509.18127"},"observation_digest":"sha256:410c7faa42100ef064ed63235523a96209bab2439c2a41b40577c3cb528c1c8f","observation_id":"2a59495b-c537-4f20-80a1-79adccabe81e","resolution":{"observed_at":"2026-05-18T18:16:43.696934Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-04T15:20:32.174473Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.20784","last_updated":"2026-05-29T09:11:25Z","snapshot_observed_at":"2026-08-08T01:29:27.853337Z","submitted_at":"2025-09-25T06:13:05Z","title":"Towards Atoms of Large Language Models","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-04T15:20:32.174473Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2509.20784"},"observation_digest":"sha256:62ce9681cdd6793bfad169afa248619808a08d7e8c986684ac26caed6e793bad","observation_id":"889197ce-1165-4e6c-aa70-4a2b7dce9c1c","resolution":{"observed_at":"2026-08-04T15:20:32.174473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2510.18184","last_updated":"2026-05-11T08:31:20Z","snapshot_observed_at":"2026-08-11T05:17:32.682135Z","submitted_at":"2025-10-21T00:21:04Z","title":"ActivationReasoning: Logical Reasoning in Latent Activation Spaces","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T05:43:45.863209Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2510.18184"},"observation_digest":"sha256:4cd169e9500a8b11dd2dd4de2322410f4aa3744348bad2ef439fce0a36c92359","observation_id":"69c8943c-5e17-44d0-9191-3d878f769783","resolution":{"observed_at":"2026-05-18T05:45:56.271876Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2511.01680","last_updated":"2026-07-15T14:09:50Z","snapshot_observed_at":"2026-08-04T00:23:23.110922Z","submitted_at":"2025-11-03T15:42:32Z","title":"Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach","version":3},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-18T01:56:50.978054Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2511.01680"},"observation_digest":"sha256:4faf9a9eaffbf4e1304ff63853d3c8b393b1504bbe75cf951a207c45ba9d5f6d","observation_id":"1886ba7f-a6ee-420e-ab41-000b17af3f07","resolution":{"observed_at":"2026-05-18T02:00:40.033494Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-04T00:23:30.786316Z","title":"Gemma Scope : Open Sparse Autoencoders Everywhere All At Once on Gemma 2, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.01680","last_updated":"2026-07-15T14:09:50Z","snapshot_observed_at":"2026-08-04T00:23:23.110922Z","submitted_at":"2025-11-03T15:42:32Z","title":"Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach","version":4},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-04T00:23:30.786316Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2511.01680"},"observation_digest":"sha256:b751bd0ef0444b012d2e5f628c0fe66414e4276cbd98291ebd827d91da70ad2c","observation_id":"1aa41a25-3ffb-47c1-b7eb-b8f014c7ae2c","resolution":{"observed_at":"2026-08-04T00:23:30.786316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-03T18:33:04.135713Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.05038","last_updated":"2026-05-29T17:42:38Z","snapshot_observed_at":"2026-08-07T15:13:01.011752Z","submitted_at":"2025-12-04T17:55:55Z","title":"The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T18:33:04.135713Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2512.05038"},"observation_digest":"sha256:159c846fba0eada6d89480a08b5ca378f1edfe9340f76ce0508a397a423dddb2","observation_id":"b817608e-4c93-4d4a-8cf2-98ebe742fe88","resolution":{"observed_at":"2026-08-03T18:33:04.135713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-03T01:17:12.094097Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.arXiv preprint arXiv:2408.05147, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.10388","last_updated":"2026-05-29T05:05:29Z","snapshot_observed_at":"2026-08-07T17:40:15.715656Z","submitted_at":"2026-02-11T00:23:13Z","title":"Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders","version":4},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-03T01:17:12.094097Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2602.10388"},"observation_digest":"sha256:ba36455625ba6539e78ebcfa0158e1a1ec3656231d1d65ef4effc7716c31aa1b","observation_id":"3e461bd4-07de-4407-92f4-26e81a05e337","resolution":{"observed_at":"2026-08-03T01:17:12.094097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-02T23:22:38.478153Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.arXiv preprint arXiv:2408.05147,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.14161","last_updated":"2026-07-19T13:10:02Z","snapshot_observed_at":"2026-08-08T04:45:44.090544Z","submitted_at":"2026-02-15T14:21:43Z","title":"When Benchmarks Lie: Evaluating Malicious Prompt Classifiers Under True Distribution Shift","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T23:22:38.478153Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2602.14161"},"observation_digest":"sha256:a9fdd801d79f61c1a3d29e515155b3f8fe39516b12aa8a307ddf31e7e46e0aab","observation_id":"92470775-d594-4e06-8be6-992f70fb6e7e","resolution":{"observed_at":"2026-08-02T23:22:38.478153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2604.03436","last_updated":"2026-04-03T20:20:28Z","snapshot_observed_at":"2026-08-11T02:17:20.250685Z","submitted_at":"2026-04-03T20:20:28Z","title":"MetaSAEs: Joint Training with a Decomposability Penalty Produces More Atomic Sparse Autoencoder Latents","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-13T19:42:57.683378Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2604.03436"},"observation_digest":"sha256:4b0304ed1d82b0398c37eab7fa5f8423da365ae7c8e45baa6450785968a7d092","observation_id":"cd9fea74-b7bd-44d1-81b3-6e8e1e667939","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2604.04946","last_updated":"2026-03-28T07:03:44Z","snapshot_observed_at":"2026-07-06T22:53:46.999911Z","submitted_at":"2026-03-28T07:03:44Z","title":"Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-14T22:18:22.476746Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2604.04946"},"observation_digest":"sha256:19b275db7712aee498578417092607a1a3b541ebd96b3bf8c789ffe6da69c236","observation_id":"10472888-231d-40cb-9d3c-c1d31fea84c6","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-07-15T11:27:58.396234Z","title":"Dragan, Rohin Shah, and Neel Nanda","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.19030","last_updated":"2026-07-14T15:58:46Z","snapshot_observed_at":"2026-08-10T16:10:06.804976Z","submitted_at":"2026-04-21T03:26:58Z","title":"Geometric quantification for nonlinear deformation in knitted fabrics","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-15T11:27:58.396234Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2604.19030"},"observation_digest":"sha256:13034546ab71a3402356f4c356f59ab419cfcbf463df732f081a00b146574b9b","observation_id":"de27df86-0ccb-4505-9f41-73b9fe159ddd","resolution":{"observed_at":"2026-07-15T11:27:58.396234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2604.19031","last_updated":"2026-04-21T03:27:59Z","snapshot_observed_at":"2026-07-06T23:05:44.499005Z","submitted_at":"2026-04-21T03:27:59Z","title":"SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T03:15:00.867443Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2604.19031"},"observation_digest":"sha256:3a9fb713ddd630e3e831d3e00850523ad9bd4839e826a92844eaeffad988b8bc","observation_id":"a8791cb6-b65a-4885-a773-50dc50709060","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2604.19260","last_updated":"2026-04-21T09:21:14Z","snapshot_observed_at":"2026-07-31T22:25:13.931512Z","submitted_at":"2026-04-21T09:21:14Z","title":"Understanding the Mechanism of Altruism in Large Language Models","version":1},"reference_index":235,"source":"arxiv_source","source_observed_at":"2026-05-10T01:36:50.329664Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2604.19260"},"observation_digest":"sha256:791bc20cad6861f531f63b6203f463de0fb98c341a79e0c6bbdda941cc119b34","observation_id":"e3ff0d7f-8a65-4407-94f9-448990d56d98","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2604.19765","last_updated":"2026-03-27T00:34:15Z","snapshot_observed_at":"2026-07-06T23:06:21.774788Z","submitted_at":"2026-03-27T00:34:15Z","title":"Do Hallucination Neurons Generalize? Evidence from Cross-Domain Transfer in LLMs","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-15T00:43:38.513913Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2604.19765"},"observation_digest":"sha256:0a6ab8425f089cf3c3bb12a79c468688824446b892659ce17c520e6ffd149578","observation_id":"f6fc003c-f2a8-4817-9e9e-1099580dc68b","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2604.19974","last_updated":"2026-04-21T20:34:14Z","snapshot_observed_at":"2026-07-06T23:06:31.110859Z","submitted_at":"2026-04-21T20:34:14Z","title":"Are LLM Uncertainty and Correctness Encoded by the Same Features? A Functional Dissociation via Sparse Autoencoders","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-05-10T02:51:12.492123Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2604.19974"},"observation_digest":"sha256:d7b1c2525c14bf1709cb77197d9ff12a2affdd541f120ed53662169d133f6310","observation_id":"28fc4626-c23d-4750-8897-a7d2e2992b12","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.01192","last_updated":"2026-05-02T02:11:31Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-02T02:11:31Z","title":"Linear-Readout Floors and Threshold Recovery in Computation in Superposition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-09T14:20:04.839150Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.01192"},"observation_digest":"sha256:445b5fb2cc0ef9ed727b73d637c418ea1f4cc6e7196ed04dd4dc671b2f88c4c1","observation_id":"057bda72-707a-43ed-be8f-6d2563788569","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.02234","last_updated":"2026-05-04T05:09:21Z","snapshot_observed_at":"2026-07-06T23:15:23.301944Z","submitted_at":"2026-05-04T05:09:21Z","title":"Bucketing the Good Apples: A Method for Diagnosing and Improving Causal Abstraction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-08T19:12:30.627633Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.02234"},"observation_digest":"sha256:72a5050dc954f08d8e8f59f672b9aa332cf28c984b7e325a2cad89bd80859b11","observation_id":"14882c30-e0ac-4a5e-a478-71e173662c0b","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.03160","last_updated":"2026-07-25T20:25:34Z","snapshot_observed_at":"2026-08-02T14:57:38.720241Z","submitted_at":"2026-05-04T21:11:21Z","title":"Steering grids for sparse-autoencoder features: when a top-context label names an activation regime rather than a causal axis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T18:52:01.624279Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.03160"},"observation_digest":"sha256:8904ac99290f168c0c0b90bb4c4410784f3a5fdcd21cd65c1ac11af997277345","observation_id":"ce2f2ada-9eb4-4079-9e00-d1d668421f39","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-02T14:57:40.345836Z","title":"Kiho Park, Yo Joong Choe, and Victor Veitch","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.03160","last_updated":"2026-07-25T20:25:34Z","snapshot_observed_at":"2026-08-02T14:57:38.720241Z","submitted_at":"2026-05-04T21:11:21Z","title":"Steering grids for sparse-autoencoder features: when a top-context label names an activation regime rather than a causal axis","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T14:57:40.345836Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.03160"},"observation_digest":"sha256:1b4fe60b6409a84519b698fc04f68e65bfec5f7807438fae324a3c840c8b798c","observation_id":"69a5a946-20d2-4b9e-8a88-4a26bd95095c","resolution":{"observed_at":"2026-08-02T14:57:40.345836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.05115","last_updated":"2026-05-06T16:46:03Z","snapshot_observed_at":"2026-08-07T10:12:24.411121Z","submitted_at":"2026-05-06T16:46:03Z","title":"Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior","version":1},"reference_index":203,"source":"arxiv_source","source_observed_at":"2026-05-08T17:47:09.591001Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.05115"},"observation_digest":"sha256:89f3636a6482b8fb5320a876f923cdabe6656452b3eadbdd80df2569039d5ec8","observation_id":"bd7ab742-ab0d-45ce-b492-bd318a053e61","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.05223","last_updated":"2026-04-18T05:53:31Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-18T05:53:31Z","title":"Structural Instability of Feature Composition","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-10T06:40:00.507484Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.05223"},"observation_digest":"sha256:4f38c8403716420c123428f502fb5ca92362f7bc66a614209c4844724744aad5","observation_id":"8d607369-5204-4867-a46d-3ab3c4c32b6f","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.05341","last_updated":"2026-05-06T18:11:14Z","snapshot_observed_at":"2026-08-11T00:16:32.157589Z","submitted_at":"2026-05-06T18:11:14Z","title":"Feature Starvation as Geometric Instability in Sparse Autoencoders","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-08T16:31:38.468164Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.05341"},"observation_digest":"sha256:63b33be6710c58453758260864ad2414294d346293a6c5510f12fa12941f6c59","observation_id":"ad417b8c-e4f4-4916-a3ea-f99323079d29","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.05443","last_updated":"2026-05-08T18:19:21Z","snapshot_observed_at":"2026-08-02T12:14:19.443756Z","submitted_at":"2026-05-06T21:11:17Z","title":"SLAM: Structural Linguistic Activation Marking for Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-08T16:17:22.003460Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.05443"},"observation_digest":"sha256:2dc2ce11d5ce465610e7687afd6300b0f492f5d9896cdb00a89e890cb2064b20","observation_id":"f1a37b84-1022-4751-aa8c-b952dad92f25","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.07922","last_updated":"2026-05-11T02:18:14Z","snapshot_observed_at":"2026-07-06T23:20:15.696237Z","submitted_at":"2026-05-08T15:57:37Z","title":"Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-11T03:13:58.543525Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.07922"},"observation_digest":"sha256:3535871a480e47c15b729ec4c5ed94aa3a287451132e5498a53ad633d0c06722","observation_id":"f9c5119d-3673-48a1-a7e4-9eb8279f6065","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.07922","last_updated":"2026-05-11T02:18:14Z","snapshot_observed_at":"2026-07-06T23:20:15.696237Z","submitted_at":"2026-05-08T15:57:37Z","title":"Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-12T03:35:50.776347Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.07922"},"observation_digest":"sha256:93b173776eb55b0dcd38ad8fd7fb41400791ee70df665a8811a091714aba7fde","observation_id":"fedbe4ef-d20b-495e-b390-27cbb1a2ef37","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.07990","last_updated":"2026-05-08T16:47:08Z","snapshot_observed_at":"2026-08-02T18:36:12.949377Z","submitted_at":"2026-05-08T16:47:08Z","title":"Tool Calling is Linearly Readable and Steerable in Language Models","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-11T03:09:11.013914Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.07990"},"observation_digest":"sha256:9768c786b1ffb95536b35796efc5362eaa5465e9cdd9da1cba41d60a9939a7be","observation_id":"35c467e4-a0df-48a3-bc69-053894d40c15","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.08611","last_updated":"2026-05-09T02:12:39Z","snapshot_observed_at":"2026-07-06T23:20:47.880233Z","submitted_at":"2026-05-09T02:12:39Z","title":"The Echo Amplifies the Knowledge: Somatic Marker Analogues in Language Models via Emotion Vector Re-Injection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-12T01:21:58.149440Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.08611"},"observation_digest":"sha256:a82c529b5f1aaf0cdf5db986913abe56cf61ebc5bf994e773ec991d12d2cf1df","observation_id":"d5a8f24c-e198-4779-ac15-81654ef3a347","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.10933","last_updated":"2026-05-20T17:26:14Z","snapshot_observed_at":"2026-08-03T07:36:40.918472Z","submitted_at":"2026-05-11T17:58:28Z","title":"DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices","version":1},"reference_index":148,"source":"arxiv_source","source_observed_at":"2026-05-12T03:36:12.915133Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.10933"},"observation_digest":"sha256:e5af39179a5c4bd483826687673de9e3bd56b4e678e5b6129f3c51982108992d","observation_id":"dd47730e-0799-409c-8b16-2313a264aec1","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.10933","last_updated":"2026-05-20T17:26:14Z","snapshot_observed_at":"2026-08-03T07:36:40.918472Z","submitted_at":"2026-05-11T17:58:28Z","title":"DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices","version":2},"reference_index":148,"source":"arxiv_source","source_observed_at":"2026-05-13T07:29:14.545746Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.10933"},"observation_digest":"sha256:0d73cf8bd4c9fd4bd4beb62c05507cc3ac017d664af78448406f75bde1f60d13","observation_id":"113eebf4-69b5-40e6-af5f-7d350345d89a","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.10933","last_updated":"2026-05-20T17:26:14Z","snapshot_observed_at":"2026-08-03T07:36:40.918472Z","submitted_at":"2026-05-11T17:58:28Z","title":"DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices","version":3},"reference_index":148,"source":"arxiv_source","source_observed_at":"2026-05-21T07:57:49.746594Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.10933"},"observation_digest":"sha256:6dc2e8cbffef3ec61ce1b0e3f02915d565269ee11a80a514df119497a5809136","observation_id":"3e755c05-0406-4e93-a38a-73809a61597b","resolution":{"observed_at":"2026-05-21T07:59:50.287717Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.12770","last_updated":"2026-05-19T21:54:38Z","snapshot_observed_at":"2026-07-06T23:24:23.402304Z","submitted_at":"2026-05-12T21:32:45Z","title":"WriteSAE: Sparse Autoencoders for Recurrent State","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-14T20:53:40.666929Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.12770"},"observation_digest":"sha256:8df06cc10d028f084556e456b72e9cc07163f80df8e8340a5876c60b20c1d8e1","observation_id":"824fe888-d8da-424d-9d35-312c245884fb","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.12770","last_updated":"2026-05-19T21:54:38Z","snapshot_observed_at":"2026-07-06T23:24:23.402304Z","submitted_at":"2026-05-12T21:32:45Z","title":"WriteSAE: Sparse Autoencoders for Recurrent State","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-15T04:59:11.877068Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.12770"},"observation_digest":"sha256:e0a448e501a64aa33d911ab6fcc697adb912b4f11b36d17bb2e81130d039aad5","observation_id":"1efab8f4-e020-4186-ba8f-8dbf08fba6cb","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.12770","last_updated":"2026-05-19T21:54:38Z","snapshot_observed_at":"2026-07-06T23:24:23.402304Z","submitted_at":"2026-05-12T21:32:45Z","title":"WriteSAE: Sparse Autoencoders for Recurrent State","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-21T07:46:41.159688Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.12770"},"observation_digest":"sha256:f70977de71c565f3f782008f72d26d4318d8e7a97ec146d048fa99efb7f33d75","observation_id":"64b8e219-8511-4694-825b-006f8f2199f5","resolution":{"observed_at":"2026-05-21T07:49:50.240937Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.12874","last_updated":"2026-05-13T01:41:38Z","snapshot_observed_at":"2026-07-06T23:24:32.412966Z","submitted_at":"2026-05-13T01:41:38Z","title":"Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-14T20:27:38.363693Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.12874"},"observation_digest":"sha256:9c3012b5b8baf94f13d4cfecda0400ef1117f3ea60ceb3bd8e2944c54253d8d7","observation_id":"5fd8d261-d048-4529-8187-699728714e6a","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.13930","last_updated":"2026-05-22T16:58:48Z","snapshot_observed_at":"2026-08-05T12:33:45.456725Z","submitted_at":"2026-05-13T16:02:56Z","title":"Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-15T05:13:07.748633Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.13930"},"observation_digest":"sha256:0db46601e7af849a1f92be27355f0c4fc28e142f5a9b0cd6849d33e40942517b","observation_id":"6bed4314-7bfa-454a-8e1e-d9e159865c76","resolution":{"observed_at":"2026-05-15T05:47:20.085339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.13930","last_updated":"2026-05-22T16:58:48Z","snapshot_observed_at":"2026-08-05T12:33:45.456725Z","submitted_at":"2026-05-13T16:02:56Z","title":"Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-19T16:50:58.589125Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.13930"},"observation_digest":"sha256:2256e15aab44f95ff1904f130d939163a0e46e64e7e510df8f28181629a450ed","observation_id":"17762393-a890-4d94-abd8-cafa6a0673bf","resolution":{"observed_at":"2026-05-19T16:52:40.031963Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.13930","last_updated":"2026-05-22T16:58:48Z","snapshot_observed_at":"2026-08-05T12:33:45.456725Z","submitted_at":"2026-05-13T16:02:56Z","title":"Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-25T06:05:46.423108Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.13930"},"observation_digest":"sha256:384438991d525b10109baab3c1c2b6fdbe3aadcc288b3d291a145f43299db8da","observation_id":"1d3bb9fd-e5e4-4ead-9bae-b0d12bb68004","resolution":{"observed_at":"2026-05-25T06:06:42.796540Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.17493","last_updated":"2026-05-17T15:04:15Z","snapshot_observed_at":"2026-08-04T11:32:13.622858Z","submitted_at":"2026-05-17T15:04:15Z","title":"Beyond Linear Superposition: Discovering Climate Features in AI Weather Models with KAN-SAE","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-20T14:48:03.631853Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.17493"},"observation_digest":"sha256:f627f4a1d8156814eef5f762556794400cbad57a8877db70d6725f1dc1c31e8f","observation_id":"4258b428-fb97-4f27-885e-d0b7d90bfac9","resolution":{"observed_at":"2026-05-20T14:48:23.202418Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.22719","last_updated":"2026-05-21T16:55:27Z","snapshot_observed_at":"2026-07-06T23:32:59.663926Z","submitted_at":"2026-05-21T16:55:27Z","title":"Reading Task Failure Off the Activations: A Sparse-Feature Audit of GPT-2 Small on Indirect Object Identification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-22T07:42:48.816730Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.22719"},"observation_digest":"sha256:6b62085a08940e03f603bd1a4e12faefa2d4e25a79b1c2b88e081f42c839d9b9","observation_id":"475c22f6-35ee-4019-a8a6-1ee2b67a9647","resolution":{"observed_at":"2026-05-22T07:44:42.741349Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.24577","last_updated":"2026-05-23T13:37:59Z","snapshot_observed_at":"2026-08-06T00:55:19.919445Z","submitted_at":"2026-05-23T13:37:59Z","title":"Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T14:10:42.640805Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.24577"},"observation_digest":"sha256:e1697c815f9cd4f77539560cc725117a09d169e398b6d4225d14f9c19d2437c5","observation_id":"6dddb91f-59c4-45a1-9b04-4b053ecc3487","resolution":{"observed_at":"2026-06-30T14:14:45.503377Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.28149","last_updated":"2026-08-04T06:19:42Z","snapshot_observed_at":"2026-08-07T23:09:28.260788Z","submitted_at":"2026-05-27T08:31:43Z","title":"Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-29T14:16:44.232080Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.28149"},"observation_digest":"sha256:5386095bef872440431fde0381bd52a37a00c514f7a0a4abcd8d1f1f57269389","observation_id":"48ab9548-bb9a-486d-9198-5620af97d852","resolution":{"observed_at":"2026-06-29T14:23:30.741279Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-04T05:02:51.319463Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.arXiv preprint arXiv:2408.05147, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.28149","last_updated":"2026-08-04T06:19:42Z","snapshot_observed_at":"2026-08-07T23:09:28.260788Z","submitted_at":"2026-05-27T08:31:43Z","title":"Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T05:02:51.319463Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.28149"},"observation_digest":"sha256:998f00a87e07980caa663894f7545172d4dc4c4152c228165788f015f978a32c","observation_id":"09ed6fe4-5176-4d34-99fb-2c663ef756b6","resolution":{"observed_at":"2026-08-04T05:02:51.319463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.28388","last_updated":"2026-05-27T12:25:57Z","snapshot_observed_at":"2026-08-06T18:03:17.206206Z","submitted_at":"2026-05-27T12:25:57Z","title":"Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-29T12:11:00.402276Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.28388"},"observation_digest":"sha256:ce14931b4b3738b352f634f3040e5a704c370c4bf4fb748e047247e5031d40d7","observation_id":"7ec33387-212e-4c05-a071-246ab361e2e8","resolution":{"observed_at":"2026-06-29T12:13:26.551175Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.28649","last_updated":"2026-05-27T15:52:39Z","snapshot_observed_at":"2026-07-06T23:38:14.056361Z","submitted_at":"2026-05-27T15:52:39Z","title":"Interpretability-Guided Layer Selection over Subspace Projection: SAEs as Stethoscopes, Not Scalpels, for Raw Task Vector Model Editing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T14:00:31.962058Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.28649"},"observation_digest":"sha256:f6b5709ae43a23567164aa8de2c01470d4231714de302e043bd7b5a5b09d3e3b","observation_id":"9dc3e8fd-bee9-4afb-8721-079dcf2b76e3","resolution":{"observed_at":"2026-06-29T14:03:29.441007Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.28896","last_updated":"2026-05-27T11:54:23Z","snapshot_observed_at":"2026-07-06T23:38:23.512460Z","submitted_at":"2026-05-27T11:54:23Z","title":"Feature Geometry of LoRA Adapters: A Sparse Autoencoder Analysis of Representational Divergence in Fine-Tuned Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T13:48:36.304776Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.28896"},"observation_digest":"sha256:e6aaa7b2078243a8a8aee7d31d68ca0acbca6710e27935c3087592b8abea01e7","observation_id":"22ae2eea-52f2-4df6-b4fb-7a60ec7e476d","resolution":{"observed_at":"2026-06-29T13:53:28.773158Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.29126","last_updated":"2026-05-27T21:38:17Z","snapshot_observed_at":"2026-08-07T10:03:35.872703Z","submitted_at":"2026-05-27T21:38:17Z","title":"When and How Long? The Readout-Mediator Angle in Temporal Reasoning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T13:31:46.930585Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.29126"},"observation_digest":"sha256:c4f2485e23826b32664aef3a3874a338f19aeb6b20b8872864461583c28f6c29","observation_id":"95aa11b0-e6c2-46ba-bd2f-8de029b083d8","resolution":{"observed_at":"2026-06-29T13:33:27.895509Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2605.30162","last_updated":"2026-05-28T16:18:07Z","snapshot_observed_at":"2026-07-06T23:39:29.458653Z","submitted_at":"2026-05-28T16:18:07Z","title":"BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T07:28:15.952337Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2605.30162"},"observation_digest":"sha256:a49fb62ed858966a273c2d22caeaa6282b48380d73a7d180a535c2da15f2854e","observation_id":"e07d41e3-2ad1-441a-ad33-48c2ac739dfe","resolution":{"observed_at":"2026-06-29T07:33:13.791646Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.02528","last_updated":"2026-07-18T22:45:39Z","snapshot_observed_at":"2026-08-05T04:38:18.906265Z","submitted_at":"2026-06-01T17:36:06Z","title":"Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.02528"},"observation_digest":"sha256:6a45a56c6e2d229d93f0791cce6e9c3c41ff1148a40dec85b20c9454cb37b100","observation_id":"9be6e381-1c13-4cf3-ab53-f870dd84b6a0","resolution":{"observed_at":"2026-06-28T11:52:04.964118Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-02T12:37:23.244657Z","title":"https:// arxiv.org/abs/2408.05147 Liu, J., Tang, Y., Yang, Y., & Tam, K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.02528","last_updated":"2026-07-18T22:45:39Z","snapshot_observed_at":"2026-08-05T04:38:18.906265Z","submitted_at":"2026-06-01T17:36:06Z","title":"Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T12:37:23.244657Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.02528"},"observation_digest":"sha256:54089d791fca154ea2bf0927bc21400fffc1ad11ae91ae883e4cfdce697ad244","observation_id":"edc86375-2c7d-40c5-a282-9247a60f965d","resolution":{"observed_at":"2026-08-02T12:37:23.244657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.06840","last_updated":"2026-06-05T02:32:24Z","snapshot_observed_at":"2026-08-05T15:03:33.373071Z","submitted_at":"2026-06-05T02:32:24Z","title":"Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-06-27T22:22:52.690010Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.06840"},"observation_digest":"sha256:8a76c05cc6c256735d946faac6da4ed29229dba71ef758f9180e456a236f549f","observation_id":"72ab9113-4f24-43a5-819b-c2a6af1dbf8e","resolution":{"observed_at":"2026-06-27T22:31:21.402678Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.10029","last_updated":"2026-06-08T18:09:37Z","snapshot_observed_at":"2026-08-06T14:10:31.952975Z","submitted_at":"2026-06-08T18:09:37Z","title":"Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-27T17:09:36.845217Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.10029"},"observation_digest":"sha256:5102e1e2a54cd3e64ff736c163ada028545dcdba123d2dc5c64f06ae25f28916","observation_id":"e67ec7d6-ae13-4768-a2fa-679ecf3d1018","resolution":{"observed_at":"2026-07-03T00:27:30.047693Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.10740","last_updated":"2026-06-09T11:50:28Z","snapshot_observed_at":"2026-08-04T00:20:02.471894Z","submitted_at":"2026-06-09T11:50:28Z","title":"When the Chain of Thought Knows Better: Failure Modes in Multi-Turn Reasoning Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-27T13:28:25.837654Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.10740"},"observation_digest":"sha256:ee6eb5ddc10972465f684c4ae2b2e03f972c1499285bc4477571a8c76b42189a","observation_id":"7adaa47e-88b2-4e3e-82db-10fcffb79d49","resolution":{"observed_at":"2026-07-03T05:07:38.578013Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.18897","last_updated":"2026-06-17T10:17:04Z","snapshot_observed_at":"2026-08-02T12:14:21.447529Z","submitted_at":"2026-06-17T10:17:04Z","title":"SAERec: Constructing Fine-grained Interpretable Intents Priors via Sparse Autoencoders for Recommendation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T19:29:52.132997Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.18897"},"observation_digest":"sha256:1a7ed563194f86818b91806fe635732010ec79e728d3b93266a8c001ce826cce","observation_id":"58d4f9a5-2c95-452d-835e-1cf816787e8b","resolution":{"observed_at":"2026-07-04T02:39:25.077542Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.20097","last_updated":"2026-06-18T11:14:38Z","snapshot_observed_at":"2026-08-03T00:28:16.311515Z","submitted_at":"2026-06-18T11:14:38Z","title":"HydraHead: From Head-Level Functional Heterogeneity to Specialized Attention Hybridization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T17:23:10.320919Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.20097"},"observation_digest":"sha256:2e2c64ee8a863db84273c19685362ca135243a557df45d663292e68f8fa25e85","observation_id":"c633fb62-4121-4d0f-8a9e-72d7ec2a7f1e","resolution":{"observed_at":"2026-07-04T03:59:33.694608Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.23583","last_updated":"2026-06-22T16:48:43Z","snapshot_observed_at":"2026-07-06T23:58:16.163783Z","submitted_at":"2026-06-22T16:48:43Z","title":"Evaluation Awareness Is Not One Capability: Evidence from Open Language Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-26T08:23:20.122338Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.23583"},"observation_digest":"sha256:bc888d563ed608e86d4b0f8096da814896e87f83deb514fd4f438a72dbdf82ff","observation_id":"d0e1b7b7-b8c7-4693-beaf-360a37dad8d6","resolution":{"observed_at":"2026-07-04T10:49:46.879693Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.24952","last_updated":"2026-06-23T08:07:51Z","snapshot_observed_at":"2026-07-06T23:59:28.120338Z","submitted_at":"2026-06-23T08:07:51Z","title":"Perfect Detection, Failed Control: The Geometry of Knowing vs. Steering in Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T00:14:40.674306Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.24952"},"observation_digest":"sha256:6dc9b95d749fe3cae121a693d4e8693fdc28e4f556b9e238948f99aaf1ef2eb4","observation_id":"a2989815-f997-403d-95fa-5eb1d4ce4c62","resolution":{"observed_at":"2026-07-04T16:49:57.474500Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.26396","last_updated":"2026-06-24T21:26:43Z","snapshot_observed_at":"2026-08-02T16:34:16.438122Z","submitted_at":"2026-06-24T21:26:43Z","title":"At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-06-26T01:27:39.812228Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.26396"},"observation_digest":"sha256:dfa1007b111eb4337124bcc96beacb1c7af2b12ae8a72c285a30fb6ca0c5da7a","observation_id":"896a8bf4-e5b9-4d4e-8e56-2bcd152bfbb6","resolution":{"observed_at":"2026-06-26T01:28:50.555158Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.26987","last_updated":"2026-06-25T13:01:11Z","snapshot_observed_at":"2026-08-08T19:14:50.307549Z","submitted_at":"2026-06-25T13:01:11Z","title":"Where Do Models Find Happiness? Emotion Vectors in Open-Source LLMs","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-26T05:02:34.714811Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.26987"},"observation_digest":"sha256:17dd6addca77b2c422983a5dea85b4311bcb7e7604b639b709723ae82e30020a","observation_id":"21eb3188-9f3c-4fa5-bae2-319f23668a37","resolution":{"observed_at":"2026-07-04T13:39:50.852419Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2606.27199","last_updated":"2026-06-25T15:59:20Z","snapshot_observed_at":"2026-07-07T00:01:24.919835Z","submitted_at":"2026-06-25T15:59:20Z","title":"Forecasting With LLMs: Improved Generalization Through Feature Steering","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-06-26T04:42:01.073777Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2606.27199"},"observation_digest":"sha256:4c8f2a2451d263c75457545aea801ef3464edb9f7cba09067531c9fc750ee517","observation_id":"cc3f4371-734a-4c75-981e-c2a85a452f47","resolution":{"observed_at":"2026-07-04T13:59:52.514820Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2607.00012","last_updated":"2026-05-08T10:35:13Z","snapshot_observed_at":"2026-08-04T21:03:13.172809Z","submitted_at":"2026-05-08T10:35:13Z","title":"PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-07-02T23:42:23.695930Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2607.00012"},"observation_digest":"sha256:85e196514674a58a61766f553988aa7efea0ea7cd616e5d68f143765c325143c","observation_id":"adf54146-71ed-4816-babe-44fca0692e00","resolution":{"observed_at":"2026-07-02T23:47:27.203806Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-07-12T03:00:02.282468Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.arXiv preprint arXiv:2408.05147,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03365","last_updated":"2026-07-03T14:22:05Z","snapshot_observed_at":"2026-08-09T07:26:01.747915Z","submitted_at":"2026-07-03T14:22:05Z","title":"Brand-as-Memory: Vision-Language Models Encode Causal, Mechanistically Localizable Credibility Priors for News Sources","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T03:00:02.282468Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2607.03365"},"observation_digest":"sha256:49036de3b92fc6211b84ca95a55072c94145f9cdf30bedf87da7b61d0b8fc5ab","observation_id":"33070664-df44-465c-8bc2-6568bd123a7b","resolution":{"observed_at":"2026-07-12T03:00:02.282468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":"2408.05147","doi":"10.48550/arxiv.2408.05147","metadata_source":"pith","pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","venue":"cs.LG","work_id":"90aa1ebe-ab2b-4462-adfd-047832493655","year":2024},"citing_paper":{"arxiv_id":"2607.07316","last_updated":"2026-07-08T12:04:38Z","snapshot_observed_at":"2026-08-07T03:56:05.019257Z","submitted_at":"2026-07-08T12:04:38Z","title":"Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-09T14:58:58.363330Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2607.07316"},"observation_digest":"sha256:52ee9fb9758218ac4716c5d58f7a1af21e2ebf3af351107ee11f59bd3aa8591e","observation_id":"7ea73d2a-9bc0-4859-993c-1d5d69319310","resolution":{"observed_at":"2026-07-09T15:06:18.005735Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-07-14T13:23:22.708604Z","title":"21 Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David Forsyth, and Dan Hendrycks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10226","last_updated":"2026-07-11T09:31:45Z","snapshot_observed_at":"2026-08-02T08:49:17.463451Z","submitted_at":"2026-07-11T09:31:45Z","title":"When Are Sparse Feature Interventions Actually Localized? Matched Evaluation for SAE-Based Safety Control","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-14T13:23:22.708604Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2607.10226"},"observation_digest":"sha256:3637da5aad29a7461eb1f34e8dd75d2f66af76cde0c9046ee41de976c68ee4ce","observation_id":"81b2608a-47c8-4ec4-9b14-1a2c108bec51","resolution":{"observed_at":"2026-07-14T13:23:22.708604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-01T20:58:52.501832Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16448","last_updated":"2026-07-17T18:47:31Z","snapshot_observed_at":"2026-08-07T21:54:41.817874Z","submitted_at":"2026-07-17T18:47:31Z","title":"Retrieval is Enough: Training-Free Interpretability with a Tool-Using Agent","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T20:58:52.501832Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2607.16448"},"observation_digest":"sha256:a07d214bda54f21dce61cfcd2bfbe0c3c70cacf7e0ab5b0e9f30ad09fcb09845","observation_id":"f4674fb3-55c8-465d-a1cd-102d210b04f1","resolution":{"observed_at":"2026-08-01T20:58:52.501832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-01T15:04:52.056618Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18577","last_updated":"2026-07-20T23:19:28Z","snapshot_observed_at":"2026-08-05T06:25:50.581335Z","submitted_at":"2026-07-20T23:19:28Z","title":"Attention Without Grounding: Causal Evaluation of Visual Explanations in Medical VLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T15:04:52.056618Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2607.18577"},"observation_digest":"sha256:6eb93c7ae302ec40cb54fc2476c1df817c740e593c229dca18d81e932dd91491","observation_id":"2a97c8cf-8c52-48a0-86e4-747c97ba3974","resolution":{"observed_at":"2026-08-01T15:04:52.056618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.05147/citation-record","integrity":"/paper/2408.05147/integrity","json":"/paper/2408.05147/citation-record.json","paper":"/paper/2408.05147"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.14997","last_updated":"2023-10-28T20:05:52Z","snapshot_observed_at":"2026-07-06T15:21:19.790554Z","submitted_at":"2023-04-28T17:36:53Z","title":"Towards Automated Circuit Discovery for Mechanistic Interpretability","version":4},"cited_work":{"arxiv_id":"2304.14997","doi":"10.48550/arxiv.2304.14997","metadata_source":"pith","pith_arxiv_id":"2304.14997","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards automated circuit discovery for mechanistic interpretability","venue":"cs.LG","work_id":"8407204b-a28a-4ba8-ae13-e7c04d3497c4","year":2023},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"cited_paper":"/paper/2304.14997","citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:75c953ede0e1193e5bd8d18ee00ffd3c2191bae5171fd2c6407ee0a0140f9bde","observation_id":"82f206c9-eff3-4bc6-a355-f557798bbec4","resolution":{"observed_at":"2026-05-15T05:47:20.036422Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":"2312.11805","doi":"10.1038/nrn2888","metadata_source":"pith","pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemini: A Family of Highly Capable Multimodal Models","venue":"cs.CL","work_id":"83f7c85b-3f11-450f-ac0c-64d9745220b2","year":2023},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:2cc9306c8799eca2fb249a81ba58e6926115f55e7c8bc90ca8bceb22b5b1a5ce","observation_id":"0d8e817e-9593-441b-a882-0cbf6f7166de","resolution":{"observed_at":"2026-05-15T05:47:20.028841Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12181","last_updated":"2024-01-22T18:11:01Z","snapshot_observed_at":"2026-07-06T17:18:56.465394Z","submitted_at":"2024-01-22T18:11:01Z","title":"Universal Neurons in GPT2 Language Models","version":1},"cited_work":{"arxiv_id":"2401.12181","doi":"10.48550/arxiv.2401.12181","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12181","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Universal Neurons in","venue":"arXiv (Cornell University)","work_id":"eb5860a6-61cb-43e3-8b19-4ddbd580abe0","year":2024},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"cited_paper":"/paper/2401.12181","citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:ea5b658cbc868480f511378b4f28b5eabfcb44f3b30b47a2196c894d7a90a08c","observation_id":"d799f6df-df6a-4a56-8dec-6e051c7446b7","resolution":{"observed_at":"2026-05-15T05:47:20.049487Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":"1412.6980","doi":"10.1002/mrm.28086","metadata_source":"pith","pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Adam: A Method for Stochastic Optimization","venue":"cs.LG","work_id":"1910796d-9b52-4683-bf5c-de9632c1028b","year":2014},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:13bf0e8b856cac8e0f988167892bf7faf793379db4f48febf153297b718b58bc","observation_id":"b64358ae-0f70-4f30-80f6-2c2230dbbc40","resolution":{"observed_at":"2026-05-15T05:47:20.021747Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1301.3781","last_updated":"2013-09-07T00:30:40Z","snapshot_observed_at":"2026-07-06T03:04:11.148340Z","submitted_at":"2013-01-16T18:24:43Z","title":"Efficient Estimation of Word Representations in Vector Space","version":3},"cited_work":{"arxiv_id":"1301.3781","doi":"10.48550/arxiv.1301.3781","metadata_source":"pith","pith_arxiv_id":"1301.3781","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient Estimation of Word Representations in Vector Space","venue":"cs.CL","work_id":"59edaa01-a696-45b3-9a08-5eae777a799e","year":2013},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1301.3781","citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:346fd9a79e5c9483fec9bbcf519e92f7f59be660551633f3b5bbb825f21e9106","observation_id":"5f156665-e25c-4aaf-a03c-85764d009081","resolution":{"observed_at":"2026-05-15T05:47:20.008082Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-14T06:20:53.853167+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T06:20:53.853167+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.23915/distill.00024.001","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Distill , year =","venue":"Distill","work_id":"baa301ce-c6dc-4579-9bd6-78d2f7cdf765","year":2020},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:3224d937c67dacda9021425f7abe8ed96908d55fd361e7b15a7815421a9408a3","observation_id":"30bd974b-b44d-4078-a44e-b2bedf7dca65","resolution":{"observed_at":"2026-05-15T05:47:20.014372Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-05-24T13:23:33.70929+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T13:23:33.70929+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.00593","last_updated":"2022-11-01T17:08:44Z","snapshot_observed_at":"2026-08-05T06:04:21.031867Z","submitted_at":"2022-11-01T17:08:44Z","title":"Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small","version":1},"cited_work":{"arxiv_id":"2211.00593","doi":"10.48550/arxiv.2211.00593","metadata_source":"pith","pith_arxiv_id":"2211.00593","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small","venue":"cs.LG","work_id":"d1167c73-3f2a-472b-8bf5-0ec282d7988a","year":2022},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"cited_paper":"/paper/2211.00593","citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:0a705607eb5da27ccdb9abc362e46f7852c46bc09ee6ae334afa1841fe3eaae0","observation_id":"73623492-eea4-4e80-a147-caa65323a6c5","resolution":{"observed_at":"2026-05-15T05:47:20.043114Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"17 Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 Gemma 2 has Gated MLPs unlike GPT-2 Small) as well as SAEs","venue":null,"work_id":"46a44a4a-a7a6-436a-9822-030d7ab408f0","year":null},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:b78ad3707be9610d4cdaf1c77221c3084f9c314f8b9026515a82a21890517717","observation_id":"e80888af-3233-44f2-822f-56a50854ceed","resolution":{"observed_at":"2026-05-15T05:47:20.059685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"82769047-f725-4380-9d87-aca0cca4ae5a","year":null},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:d0f4e5cd25bfb462522658816691675d9b32c1126602c162630f29fbe0c0b887","observation_id":"51d25de6-c743-40f7-ad5a-126f0f7d109a","resolution":{"observed_at":"2026-05-15T05:47:20.064308Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8a75bf68-431b-46e1-b3ea-22d97254f313","year":2024},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:c3f7c799a39d90430f8d74286b35fd9fdc70f65f7a6b439fbce09fd462b17651","observation_id":"acf3606a-aa8d-4c3e-b38d-c3726ffb06ac","resolution":{"observed_at":"2026-05-15T05:47:20.069161Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dunefsky et al","venue":null,"work_id":"f2ee9336-e8cd-4bd0-9583-545dac8e184a","year":2024},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:29cd5e3dbbf3b4d586e4ed9a2b463cadd2117f8eaab2488f1e35d3906645792b","observation_id":"e07a8409-a5ea-4e63-a19f-9110ba1626cf","resolution":{"observed_at":"2026-05-15T05:47:20.073612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Language model technical details We fold the pre-MLP RMS norm gain parameters (Zhang and Sennrich (2019), Section 3) into the MLP input matrices, as described in (Gurnee et al","venue":null,"work_id":"3a1ca9e0-8aa5-4d53-9b18-d6dde52dc9c4","year":2024},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:9064aac316e50b8dcd73ec4b88305c237adb4f3874902353fd5781a610d2ab65","observation_id":"96609cb6-c92f-47e4-b495-69aaed5bf4e8","resolution":{"observed_at":"2026-05-15T05:47:20.078971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ddb9c82f-d90b-4a73-ae56-1cc85852b1c9","year":null},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:bc7faa1753ab0677856b37ccf7f655dd9086c552ba4c5485e0aa52f2a7670bd9","observation_id":"1f5ba481-63c7-4ddd-90a7-d58f2165b6c4","resolution":{"observed_at":"2026-05-15T05:47:20.083590Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"google/gemma-2-2b","venue":null,"work_id":"ccb8adbd-c854-4b87-b90b-633fbdf215cd","year":2024},"citing_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-15T05:47:19.953111Z"},"links":{"citing_paper":"/paper/2408.05147"},"observation_digest":"sha256:37b4d83fcae008923431cf231dde72c78efc005ad47d8b367c82c824641cd4ac","observation_id":"6b86dee1-9ab1-4833-8d2c-c69c134d28e9","resolution":{"observed_at":"2026-05-15T05:47:20.054641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T11:44:14.524984Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":3,"verified_exact":5,"verified_fuzzy":4},"total_outbound_references":14},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 100 inbound Pith citation observations for arXiv:2408.05147."}