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Paper Citation Record · LEDGER

BatchTopK Sparse Autoencoders

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 64 inbound Pith citation observations for arXiv:2412.06410.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.06410 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 64 of 64 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:55:01.953347Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d30465e6-3b9d-4f7b-bb16-4213df4a7c54 · inbound

Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition cites this paper.

Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition BatchTopK Sparse Autoencoders

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:55:01.953347Z digest=sha256:2a94e03496d397f4d77497c87820ccde46f3862e46de404bc913fc7a5b578bf8

Observation 08cb6a92-6a7f-4276-abac-39cc8c4ad0d5 · inbound

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders cites this paper.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 7

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source=arxiv_source observed=2026-08-10T01:04:57.032998Z digest=sha256:09afeb6c0180110861a73516189e17886e48f925bf688b5f35aed56488563307

Observation 32562f45-8c26-4456-af7b-cfbeb6f2ac8f · inbound

Transcoders Beat Sparse Autoencoders for Interpretability cites this paper.

Transcoders Beat Sparse Autoencoders for Interpretability BatchTopK Sparse Autoencoders

Reference 13

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source=arxiv_source observed=2026-08-09T22:24:53.819540Z digest=sha256:423c4c1df6d75a560bef7e74d047003cb45188a341eafe12737d955683fb65f3

Observation f4173e59-ba33-490e-b852-7c5a18de0ca5 · inbound

Low-Rank Adapting Models for Sparse Autoencoders cites this paper.

Low-Rank Adapting Models for Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 6

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source=pdf_text observed=2026-08-09T20:18:30.572602Z digest=sha256:c72dba8d8d3cf0da21db85661428b0eda56ddbf2d2777518f82f5887f601dd94

Observation 4d55c472-3b55-4205-a041-12f6c98efdfd · inbound

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models cites this paper.

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models BatchTopK Sparse Autoencoders

Reference 4

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source=arxiv_source observed=2026-08-09T10:11:51.452310Z digest=sha256:1e6bb9d644df8691d21bc0ff286e1a40f7d60a0375a255f090544af82d8c2014

Observation 5fe28006-0be0-4138-b8f7-57db0079805f · inbound

Sparse Autoencoders Do Not Find Canonical Units of Analysis cites this paper.

Sparse Autoencoders Do Not Find Canonical Units of Analysis BatchTopK Sparse Autoencoders

Reference 2023

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source=pdf_text observed=2026-08-08T21:12:13.806500Z digest=sha256:7d8c60b3eb71036843eeccbe60cec1dbc97eeb5d48619690e51e2afbbbd64301

Observation 6a38c3d4-af46-42a5-87b0-f690c11b3c21 · inbound

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs cites this paper.

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs BatchTopK Sparse Autoencoders

Reference 7

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source=pdf_text observed=2026-08-07T14:02:58.976794Z digest=sha256:67adc4ef0227daad6c819e47ed6bb20bc7bebe8e0d729d9e58ed9e75d9bed1a3

Observation 50f392a6-1331-4668-b790-836ee4e1ae44 · inbound

Sparsification and Reconstruction from the Perspective of Representation Geometry cites this paper.

Sparsification and Reconstruction from the Perspective of Representation Geometry BatchTopK Sparse Autoencoders

Reference 22

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source=pdf_text observed=2026-08-07T13:11:37.858200Z digest=sha256:601fc2e0fea438662a2f8e9d43e51ccb4ca0bf037dd71c11a10fca2d490b39da

Observation 853c427a-e857-45d2-8e00-188440d1c678 · inbound

Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy cites this paper.

Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy BatchTopK Sparse Autoencoders

Reference 3

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source=arxiv_source observed=2026-08-07T12:35:25.286393Z digest=sha256:1c5bb0172174551104f7b67fb9298a6aa07302f5f29b8fda6a90b8c826d3a00c

Observation 74ca310b-cf80-4390-9025-674d44e0d18d · inbound

Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval cites this paper.

Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval BatchTopK Sparse Autoencoders

Reference 4

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source=arxiv_source observed=2026-08-07T13:25:57.848328Z digest=sha256:0c6e7059b0a38a02fdb1718c584d4a0c5acf799db5ea8edd94f7fb031fe5c2a4

Observation b827ef89-da76-40a5-b339-6dedee4ee913 · inbound

Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures cites this paper.

Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures BatchTopK Sparse Autoencoders

Reference 2024

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source=pdf_text observed=2026-08-07T11:56:15.144035Z digest=sha256:a7fc100ac131fd27d8b5e15f8a291b4c597d1ddf6fa1283b5fe555e0284f8e95

Observation e744d89e-f625-48bd-9a2d-944b37cf8872 · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety BatchTopK Sparse Autoencoders

Reference 13

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no resolver link, observed 2026-08-06T17:46:16.400548Z

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source=arxiv_source observed=2026-08-06T17:46:16.400548Z digest=sha256:85310bc4034742ebcfea80a955b96ef5f752fd42688a53630063073ecd1b3bbb

Observation 97c91098-ec70-4e7f-9958-de81d8bb0022 · inbound

Insights into a radiology-specialised multimodal large language model with sparse autoencoders cites this paper.

Insights into a radiology-specialised multimodal large language model with sparse autoencoders BatchTopK Sparse Autoencoders

Reference 8

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no resolver link, observed 2026-08-06T16:40:41.088549Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:40:41.088549Z digest=sha256:b91c4b8da22e33ca730daefe851de007d5eac2c9f1cebb1862cee2cf1b964844

Observation 503c8aa7-78ce-41e5-a7a7-b42dcd033de9 · inbound

Teach Old SAEs New Domain Tricks with Boosting cites this paper.

Teach Old SAEs New Domain Tricks with Boosting BatchTopK Sparse Autoencoders

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:40:28.594279Z digest=sha256:b6088b127a26bd73b9bf43a1fae962eb0758606786da5504a48c8a92807a69ac

Observation c0c8dfd4-f44e-49bd-9257-744ca2bd4923 · inbound

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders cites this paper.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 2023

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no resolver link, observed 2026-08-05T17:18:54.161687Z

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source=pdf_text observed=2026-08-05T17:18:54.161687Z digest=sha256:1615ec5b582ae65c27a203ae538762e7ba54248af32fceca5cf792366c7ccb90

Observation 5fd7669a-31c4-4d06-b2ad-a407d597e2cd · inbound

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining cites this paper.

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining BatchTopK Sparse Autoencoders

Reference 2

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arxiv_id, observed 2026-05-18T18:42:48.062273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T18:42:33.487450Z digest=sha256:405f078206abe25ffeab607bc576aead4084f30a980c1a8b0bad4fbc98eeafc8

Observation e8afb824-8d57-4fb8-9b47-d428155bf803 · inbound

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework cites this paper.

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework BatchTopK Sparse Autoencoders

Reference 7

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arxiv_id, observed 2026-05-18T18:16:43.801278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T18:13:01.662828Z digest=sha256:2f54eb6ab4fe50e61474e9427fc806473a2f40b241ad9e5a34ed2835c94bdc87

Observation 9cc2795f-dcf3-4d19-9243-b9d719f6a998 · inbound

Bridging Mechanistic Interpretability and Prompt Engineering with Gradient Ascent for Interpretable Persona Control cites this paper.

Bridging Mechanistic Interpretability and Prompt Engineering with Gradient Ascent for Interpretable Persona Control BatchTopK Sparse Autoencoders

Reference 2024

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source=pdf_text observed=2026-08-03T12:29:39.483685Z digest=sha256:b12a81618dbae961b2d99ad8c204cf79f21ce8b90e197f3306442af0043712e9

Observation 1fc42ea8-6cec-423a-af82-df4145ac284c · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models BatchTopK Sparse Autoencoders

Reference 27

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arxiv_id, observed 2026-05-16T12:40:54.800252Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T12:39:57.398423Z digest=sha256:60b452773f40644830d31efb98ece9f1cbe166e16aada0ad5a5ee3e580fb851d

Observation 28967be0-12bc-4b50-a7ef-625d63f809c7 · inbound

AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders cites this paper.

AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders BatchTopK Sparse Autoencoders

Reference 2018

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source=pdf_text observed=2026-08-03T04:28:01.342719Z digest=sha256:65faaa1166c6fde6be9ef54e1df0d8ae66147f2b626e25a5974b7e4086678eee

Observation b1d248ed-971d-4a35-8ff4-16522c588cc8 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 82

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source=pdf_text observed=2026-08-03T01:17:12.083084Z digest=sha256:a54cf3c6a00416ff47aaa74993ec82ad3a27d88fae0aabde4e52b99750a202ae

Observation 603b3671-5f93-436d-bdbe-f3fd6fcf8561 · inbound

TADA! Tuning Audio Diffusion Models through Activation Steering cites this paper.

TADA! Tuning Audio Diffusion Models through Activation Steering BatchTopK Sparse Autoencoders

Reference 5

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arxiv_id, observed 2026-05-21T13:44:11.562979Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T13:40:47.112814Z digest=sha256:c0d7241a56ebce1bd493dc82af1e26ca53539279a4eda5cee21eeead7afd4043

Observation 537afb45-7926-4f65-b41a-afa0b6f65c50 · inbound

Stable and Steerable Sparse Autoencoders with Weight Regularization cites this paper.

Stable and Steerable Sparse Autoencoders with Weight Regularization BatchTopK Sparse Autoencoders

Reference 10

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source=pdf_text observed=2026-08-02T18:56:20.271794Z digest=sha256:d016c1f1d7cde1d84818519bdb13d0c31df4cd5af455389adcc103b7885afac9

Observation 7b0861a5-8004-419a-84ed-ea0b201911b9 · inbound

Interpreting Video Representations with Spatio-Temporal Sparse Autoencoders cites this paper.

Interpreting Video Representations with Spatio-Temporal Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 3

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source=pdf_text observed=2026-07-13T12:01:02.997589Z digest=sha256:ba73db1dd11cd05c0474e0b895859e2f79dd0e6bf8e77a3177adc6b3e4c4ca65

Observation fa117e4c-b2ec-4bcf-9863-110c761bc669 · inbound

Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP cites this paper.

Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP BatchTopK Sparse Autoencoders

Reference 6

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arxiv_id, observed 2026-05-10T23:25:49.640821Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:11:09.646784Z digest=sha256:527d0008e4071075ca11dbe95438b79f5c7410b3119fe162b55e11202f2064d6

Observation a3797390-7d0e-48dc-a93e-08c9494bda72 · inbound

Improving Robustness In Sparse Autoencoders via Masked Regularization cites this paper.

Improving Robustness In Sparse Autoencoders via Masked Regularization BatchTopK Sparse Autoencoders

Reference 19

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arxiv_id, observed 2026-05-10T23:55:51.655631Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:47:15.830063Z digest=sha256:7a452e4e85788781160b7aa03c46524ec51324f48a2b1ed07bc20e5a6c8fc174

Observation 097fc284-d94b-4e59-ab3f-4aaa43b5715c · inbound

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs cites this paper.

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs BatchTopK Sparse Autoencoders

Reference 10

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arxiv_id, observed 2026-05-11T05:35:57.489736Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:04:05.157103Z digest=sha256:a88724c16bb948fa07a533e56d8f8f9989101b06600161434c2f6548b83e8a5a

Observation 7d2ffaac-439a-40af-beec-d4d9928df09e · inbound

Feature Starvation as Geometric Instability in Sparse Autoencoders cites this paper.

Feature Starvation as Geometric Instability in Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 5

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arxiv_id, observed 2026-05-08T20:09:09.841748Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T16:31:38.468164Z digest=sha256:a621ed5687a92c75e77ec2c91f3038608c457b99707521acccc4c56fa4c13062

Observation 59fa630e-e600-4236-86aa-8d2d0535f3b5 · inbound

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders cites this paper.

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 5

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arxiv_id, observed 2026-05-11T19:21:07.232672Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T12:16:18.696425Z digest=sha256:9033b403c3f460f3ddeef7cf6c5476ba277ff0ab0a1a84c6fe8f549ffef5218e

Observation 877631c1-2697-485d-8d12-5af096b2bf4f · inbound

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders cites this paper.

SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 5

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arxiv_id, observed 2026-05-11T04:05:57.951965Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:57:20.566117Z digest=sha256:7008bb9a00c9397c6992342169f7e1e0aaabc0a1e87da0815b30bbc387ccb51b

Observation de11537c-5000-4843-9205-21a301603f89 · inbound

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders cites this paper.

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 2

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arxiv_id, observed 2026-05-11T03:15:54.380486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T03:13:58.543525Z digest=sha256:14ad48ef99ab9a263a8c1478a905dd22ec152656d644fd7365851146febcef62

Observation c530d36d-50e6-44ac-8a8b-a7cb94fbba25 · inbound

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders cites this paper.

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-12T07:16:25.346292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T03:35:50.776347Z digest=sha256:1cc14607470e4aa8cdadca72b55c0f5b5d017f634d585974ea93a5eb1d2483c1

Observation ed783a5b-56aa-48bd-b323-50a08a84152d · inbound

Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning cites this paper.

Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning BatchTopK Sparse Autoencoders

Reference 2

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verified exact
arxiv_id, observed 2026-05-13T05:52:22.475888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T05:49:01.617230Z digest=sha256:4f72f9ef2a822cf03d63301afd86b36d9370fb50f51f421296cb25300fbd73d3

Observation f3c49290-2795-4ffc-9e9d-a5f9453e986b · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space BatchTopK Sparse Autoencoders

Reference 23

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arxiv_id, observed 2026-05-13T05:27:19.236436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T05:17:34.283917Z digest=sha256:be57fa59eae1da956a7f295133a8af525b7f18fb6ade99a5eb7da22fb8df64b4

Observation d4d1b850-475d-4509-86af-0afd84a77323 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State BatchTopK Sparse Autoencoders

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-21T07:49:50.142017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T07:46:41.159688Z digest=sha256:06ce50dceaaef233376415f51c827ed2354c454d56b3e5a0f5a275868af60b02

Observation 108a6900-bb62-44d4-b840-11496ecff9fd · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces BatchTopK Sparse Autoencoders

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:19:27.635167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:59648aa00ecbf678685d7693700534e7a8b9cbd727e09f084c59e6b039e200a9

Observation 23a43007-35a2-4df1-9e38-8e4c054799f8 · inbound

The Rate-Distortion-Polysemanticity Tradeoff in SAEs cites this paper.

The Rate-Distortion-Polysemanticity Tradeoff in SAEs BatchTopK Sparse Autoencoders

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T21:15:04.060710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T21:13:01.880935Z digest=sha256:c8af9e291aae05455c0410bb67e081e200a0ef7e5e536ec70e9f8401cc85250b

Observation 0ba08d8c-35a6-43b4-a04b-4da18e2f3f83 · inbound

Are Sparse Autoencoder Benchmarks Reliable? cites this paper.

Are Sparse Autoencoder Benchmarks Reliable? BatchTopK Sparse Autoencoders

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:43:16.754916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T12:43:13.014365Z digest=sha256:3e1699f4c7435fd55e45e7e83ade63851332dc3ded0c074d5f47bdf838f21292

Observation 6e93ea94-3dfd-4b80-b8c7-06e43ad3527a · inbound

Conceptualizing Embeddings: Sparse Disentanglement for Vision-Language Models cites this paper.

Conceptualizing Embeddings: Sparse Disentanglement for Vision-Language Models BatchTopK Sparse Autoencoders

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:51:07.669442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T05:50:50.415408Z digest=sha256:b07055a954a9fe14fa9b3e558d7265e5ab1039df35d783999eaa4973b2dbef38

Observation 61f6bdb6-149c-4e0a-9f83-222c5d7d2844 · inbound

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations cites this paper.

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations BatchTopK Sparse Autoencoders

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:23:30.802589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T14:16:44.232080Z digest=sha256:9c2a590d5f05804b7b7fc6def9eeffad9ccbd99010248d47f15d71fdbea7cd39

Observation ef22c454-23fc-4cc3-ba90-f37c5c0ad00d · inbound

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations cites this paper.

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations BatchTopK Sparse Autoencoders

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T05:02:51.377381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:02:51.377381Z digest=sha256:e220d11b1058a870ab1817f86f686f8b7d13708504fed42162a99f75182a3e81

Observation 6449e448-95e8-499b-8287-c4fe0d9d90c7 · inbound

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability cites this paper.

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability BatchTopK Sparse Autoencoders

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-28T02:11:29.033059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T02:07:18.198225Z digest=sha256:be12fc7ab1f25171fb9702a09a58548ac3a72d1759599b5adecbc47cf805535c

Observation 0ed3798e-d46f-4b5e-9e96-fc47fe6d009a · inbound

Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs cites this paper.

Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs BatchTopK Sparse Autoencoders

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:47:23.493938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T20:05:30.325338Z digest=sha256:f1dd5a85788ce9ead307262d8a246f3b11b862233c9a011e203d1072905cbf10

Observation c901cc09-7be8-4da6-b28d-559f6e3a1565 · inbound

Interactions Between Crosscoder Features: A Compact Proofs Perspective cites this paper.

Interactions Between Crosscoder Features: A Compact Proofs Perspective BatchTopK Sparse Autoencoders

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:28.611651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T17:25:55.152823Z digest=sha256:1c41009546fbcf7efcbc609424bc6c9ae9b2fd25415c1ddeec62754fe3edd6dc

Observation 222566cb-6b5a-4cd2-b84d-73c0dc35c862 · inbound

VFUSE: Virulent Feature Understanding with Sparse autoEncoders cites this paper.

VFUSE: Virulent Feature Understanding with Sparse autoEncoders BatchTopK Sparse Autoencoders

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:57:29.988003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T16:57:52.441415Z digest=sha256:9ee584a249aecdac7801689dfb7dc53e9c7465adf98c3d6659b080e5e10a4563

Observation df4ce66e-ab01-4048-8b9a-a7c9b2b922ea · inbound

ICA Lens: Interpreting Language Models Without Training Another Dictionary cites this paper.

ICA Lens: Interpreting Language Models Without Training Another Dictionary BatchTopK Sparse Autoencoders

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:17:49.080404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T10:21:58.878499Z digest=sha256:4d5bd91aa687d5983f21316ca39c8a345a8d0e721f7d50dacc97f1878c485280

Observation 01d14aaa-1391-40d7-bd82-11da55db7ebf · inbound

Rational Sparse Autoencoder cites this paper.

Rational Sparse Autoencoder BatchTopK Sparse Autoencoders

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:08:43.972416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T04:29:27.383661Z digest=sha256:e19782ff081a1b88c7562a4ed6640f60d405c309be469602fbfe599d64c51762

Observation 0468e501-4c22-4174-8d38-d6d427b94900 · inbound

Size Doesn't Matter: Cosine-Scored Sparse Autoencoders cites this paper.

Size Doesn't Matter: Cosine-Scored Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T07:15:29.601747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T07:15:16.674714Z digest=sha256:bc492fe922b54be214dce03f55df4b5b73ee1c7e04528a97c90d3f4bbdde6c2a

Observation 739db077-04f0-4f77-b2aa-a4ec6142f7de · inbound

Steering Vision-Language Models with Joint Sparse Autoencoders cites this paper.

Steering Vision-Language Models with Joint Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:00:07.782403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T20:56:57.716246Z digest=sha256:d4c86dd7f22b2418873eaae77e2350f5cbaaf8e60affc41702c8e388467d922f

Observation cf3d30fe-c7c9-4c71-a1cd-49e98b5d21bd · inbound

Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders cites this paper.

Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:50.942239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T05:01:55.327724Z digest=sha256:93b0fd0280d5a90743bc47c4b0114dc40d2d954ad4c19729bd3c1e54dd5613dc

Observation b09827db-6e2b-467b-9e60-f751b4981ac0 · inbound

Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders cites this paper.

Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-15T10:30:51.183063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T10:30:51.183063Z digest=sha256:941e7d4f9f0113e677501c0600eb971a8b7482959a4912fbb8c7a2bf87259283

Observation 9c7c01ee-02fc-4d9c-9d0a-6c05bca2772e · inbound

PairSAE: Mechanistic Interpretability from Pair Representations in Protein Co-Folding cites this paper.

PairSAE: Mechanistic Interpretability from Pair Representations in Protein Co-Folding BatchTopK Sparse Autoencoders

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:55:58.716507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T01:24:01.833060Z digest=sha256:34158b8624280c1e7a2fa2fe6609f5d0ca16b3631fc32741e0dbdefcb0032403

Observation 0cde1526-4207-402d-89d0-455ba25784b0 · inbound

Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution cites this paper.

Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution BatchTopK Sparse Autoencoders

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:35:48.381247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T01:20:29.026464Z digest=sha256:b9e4cf398158a00f96ccc239a652fa99f2ed5a44d94e59d98d3b4768b1dc128b

Observation c88c33bf-2ec4-4373-ac07-2f836ac05e81 · inbound

Aligning Sentence Embeddings to Human Concepts via Sparse Autoencoders cites this paper.

Aligning Sentence Embeddings to Human Concepts via Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:27:25.257762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T22:19:00.111304Z digest=sha256:db2083d6990964695b75296676fa5a200d30cbf71f1ae74e386cd5edc4c55cd8

Observation dfae3e4d-9e89-46db-8e1d-9ad165096570 · inbound

Expander Sparse Autoencoders: Parameter-Efficient Dictionaries for Mechanistic Interpretability cites this paper.

Expander Sparse Autoencoders: Parameter-Efficient Dictionaries for Mechanistic Interpretability BatchTopK Sparse Autoencoders

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:28:44.142380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T17:19:36.936483Z digest=sha256:e2d1c5f344834f3695f0ed1013761338b72720dbf067179acd347120506cc73a

Observation e8fddea9-8b35-4737-a383-eada0b901c16 · inbound

Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning cites this paper.

Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning BatchTopK Sparse Autoencoders

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-09T15:06:18.048729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-09T14:58:58.363330Z digest=sha256:10a96c103d014aa0045bc01afa338ec8554c783f235a694876dc95a050099287

Observation 7a9befc9-8f4f-40a6-bb2b-b6340ac3188a · inbound

Decoder-Preserving Sparse Autoencoders: Which Readouts Survive Sparse Compression? cites this paper.

Decoder-Preserving Sparse Autoencoders: Which Readouts Survive Sparse Compression? BatchTopK Sparse Autoencoders

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T18:04:16.903014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:04:16.903014Z digest=sha256:a6651ec678593e8f577f91d30a1c1f37df0ec6a6405cf4a2c03cc3b0da9bed35

Observation 7853accc-125a-42e7-93b1-aee7d6f57a53 · inbound

Reference Feature Atlases for Mechanistic Auditing of Language Models cites this paper.

Reference Feature Atlases for Mechanistic Auditing of Language Models BatchTopK Sparse Autoencoders

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T12:35:15.929259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:35:15.929259Z digest=sha256:79ffcb346f95636e9917f02c829f91b60e9d27239a1af52a8e895bbfe0be418e

Observation 0fa6ef38-b4d4-4936-937a-80e179737dcc · inbound

What do Reward Models Memorize? cites this paper.

What do Reward Models Memorize? BatchTopK Sparse Autoencoders

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-07-31T13:41:41.992934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T13:41:41.992934Z digest=sha256:888a6c2d7f45f4d43f388ce9109f6a158b3c5b20940d645291f2822e04ea4c21

Observation 012d2172-bdb6-4587-8fed-ec8e3799926b · inbound

SADe: Sparse-Atom Support Decontamination for Few-Shot Segmentation with Weak Support Annotations cites this paper.

SADe: Sparse-Atom Support Decontamination for Few-Shot Segmentation with Weak Support Annotations BatchTopK Sparse Autoencoders

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-07-31T07:22:46.247845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T07:22:46.247845Z digest=sha256:0a199f0d409f42cac374c9b14a5058c6f16ca470a60d82ccee241fff65216b9e

Observation 51a16269-d6af-4b2c-9132-f79570b8270a · inbound

CADENCE: A Cardiac Atom Dictionary for Interpretable Neural Concept Extraction from ECG Foundation Models cites this paper.

CADENCE: A Cardiac Atom Dictionary for Interpretable Neural Concept Extraction from ECG Foundation Models BatchTopK Sparse Autoencoders

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T03:03:55.931973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:03:55.931973Z digest=sha256:0cf817f62b6eeb6b052f246d464aef1e69ab938a9ed79cd8968e658b5bb2f95b

Observation eba49413-a09c-4e1e-8e5d-666a80fa22d8 · inbound

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders cites this paper.

ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T07:58:31.293823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:58:31.293823Z digest=sha256:6da2cfea91d8952c11dbf5bb577960157aec49ffa7107d30c8c1a65a42c99006

Observation ad5ff4d9-0c41-4812-97b7-475eb3a0a008 · inbound

ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levels cites this paper.

ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levels BatchTopK Sparse Autoencoders

Reference 108

Resolution
unresolved
no resolver link, observed 2026-08-05T17:48:45.349661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:48:45.349661Z digest=sha256:f21bb79daee8bd94f5e7bb0e53ed8f6b2550128edf1de04a634107ba73e55fe5

Observation 5549e875-12c1-45ef-adf9-733c6506def8 · inbound

LaPrune: Controllable Differentiable Sparsity at Million Scale cites this paper.

LaPrune: Controllable Differentiable Sparsity at Million Scale BatchTopK Sparse Autoencoders

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-08T00:53:24.728224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:53:24.728224Z digest=sha256:d382b99bd504014968339c824d01b295897898a7879d4563aa488106509bce3a