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Paper Citation Record · LEDGER

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects

As of 1 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.24645.

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

pith.paper-citation-record.v1
2607.24645 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T09:20:47.845917Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c65391e-f91d-41b2-a20f-78766fa26f85 · outbound

This paper cites Journal of Machine Learning Research , year =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Journal of Machine Learning Research , year =

Reference 1

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T09:20:46.993566Z digest=sha256:7ea6fafce7388f04e031899477d0d26b5e4a78527ad6cf4fef5f47e2a61a918b

Observation ea906b2e-24c3-4d22-aa45-22757ce15218 · outbound

This paper cites Do Sparse Autoencoders Capture Concept Manifolds?.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Do Sparse Autoencoders Capture Concept Manifolds?

Reference 2

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source=arxiv_source observed=2026-07-31T09:20:47.008532Z digest=sha256:f08326d3810c2c970100199317de7a8d9b13f874b83d6ba3fec32f32f463031d

Observation 254b586c-279b-46d1-822c-8ee4cba64308 · outbound

This paper cites Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

Reference 3

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source=arxiv_source observed=2026-07-31T09:20:47.034743Z digest=sha256:d5a16e447af7804cece80e61aa3cb8032903503a3f38be7d8d487762ebede586

Observation 27da44f8-9f0c-4982-b77f-84328e813376 · outbound

This paper cites Finding Belief Geometries with Sparse Autoencoders.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Finding Belief Geometries with Sparse Autoencoders

Reference 4

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local_arxiv, observed 2026-07-31T09:21:24.466794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-07-31T09:20:47.045872Z digest=sha256:f27d8f89e1f66ec9fef0c89e568bf27006152747eeec77eea44377c7d38e24ff

Observation 52e08275-dffb-49e4-925e-ff004edb4139 · outbound

This paper cites Manning and Christopher Potts , editor =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Manning and Christopher Potts , editor =

Reference 5

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source=arxiv_source observed=2026-07-31T09:20:47.094747Z digest=sha256:20e058bf9213db5627e73694e499ff2876aefb908c6c002b3896334f00f641ed

Observation 011314fa-3a07-4982-a59e-238ec2e9f81f · outbound

This paper cites Galichin and Alexey Dontsov and Oleg Rogov and Ivan V.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Galichin and Alexey Dontsov and Oleg Rogov and Ivan V

Reference 6

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source=arxiv_source observed=2026-07-31T09:20:47.141888Z digest=sha256:a80ddfa0bbd596b88d26d848e2a237919952276380a425a819cfa8b37a8b4fca

Observation 1c1e5277-6362-4f94-9208-30af129195e6 · outbound

This paper cites Li and Suraj Srinivas and Usha Bhalla and Himabindu Lakkaraju , editor =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Li and Suraj Srinivas and Usha Bhalla and Himabindu Lakkaraju , editor =

Reference 7

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doi, observed 2026-07-31T09:21:24.180960Z

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No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-07-31T09:20:47.164639Z digest=sha256:a0b24bb8ffb6aa0aa8ea309b1804a2ea59e35726dc071aa81aaa695b611f714e

Observation 3230cf53-a693-475b-ac2e-8bef6cfb0f6c · outbound

This paper cites and Lubana, Ekdeep S and Fel, Thomas and Ba, Demba , booktitle =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects and Lubana, Ekdeep S and Fel, Thomas and Ba, Demba , booktitle =

Reference 8

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source=arxiv_source observed=2026-07-31T09:20:47.171174Z digest=sha256:dbab4a86d5b221f72b8ef2ded674bd7156c0620b5999224330065145f2b43902

Observation ba75407c-25b1-4b49-9331-8d2332f3b6b2 · outbound

This paper cites Michaud and David D.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Michaud and David D

Reference 9

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source=arxiv_source observed=2026-07-31T09:20:47.182754Z digest=sha256:c024ad28cefdd8d18f188086c693cbb74228db0d65347d421a6ed9c052507972

Observation efff8438-2061-4280-91c6-2b8b0f6b255b · outbound

This paper cites Transformer Circuits Thread , note=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Transformer Circuits Thread , note=

Reference 10

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source=arxiv_source observed=2026-07-31T09:20:47.189370Z digest=sha256:1b6de79d76fb9857986124d119a660673ca43e6f74317e7c4d4a4322a235fa8b

Observation 1e7d4f3e-8881-47d4-85d4-11bc67230147 · outbound

This paper cites Transformer Circuits Thread , note=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Transformer Circuits Thread , note=

Reference 11

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source=arxiv_source observed=2026-07-31T09:20:47.195972Z digest=sha256:f5d5014328caa81e30fe475985382daa4b343af8e5eb8747b25a7870131bcf4f

Observation f8dc10b9-07ea-40d0-ad06-e4d20bdc624f · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects The Twelfth International Conference on Learning Representations,

Reference 12

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source=arxiv_source observed=2026-07-31T09:20:47.201745Z digest=sha256:b54fccb60be9322c67a24083b324a28d78e751e22521e5b07121fd3c29f1d7a1

Observation 5c3f897a-6cf1-4be4-a9e1-5857a4ce39d8 · outbound

This paper cites Daniel and Sumers, Theodore R.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Daniel and Sumers, Theodore R

Reference 13

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source=arxiv_source observed=2026-07-31T09:20:47.224745Z digest=sha256:7cf7d97d5307b95616f834fc5354b935dc32cd6b7e0491543161dbd243c4262e

Observation ac395899-e9ac-44c5-8dbc-460e536dcc20 · outbound

This paper cites 2024 , url =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 2024 , url =

Reference 14

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source=arxiv_source observed=2026-07-31T09:20:47.274747Z digest=sha256:8817e07d8f2b215f945404ebaa4e456481b87c243d0ccfc305cc9b30a0e6d5bd

Observation 3e31cfd2-c02e-4d7b-b48a-1394ae58444f · outbound

This paper cites 2025 , url =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 2025 , url =

Reference 15

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source=arxiv_source observed=2026-07-31T09:20:47.290827Z digest=sha256:95ce1802f28f01e9b18998dc51535e92530b9f7edaa8e04789bdec600343e5f6

Observation 4773625a-2c48-4fd8-a0c5-5210754bb588 · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 16

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source=arxiv_source observed=2026-07-31T09:20:47.304749Z digest=sha256:0af864efda1899725642cc20985e3c72c4049f2c223b89a85a83d83bfd92deef

Observation f947d50e-c2b7-4055-8e2d-ca1137520cf7 · outbound

This paper cites CoRR , volume =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects CoRR , volume =

Reference 17

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source=arxiv_source observed=2026-07-31T09:20:47.354749Z digest=sha256:afb1f91b34b036c9ec029e268f3454bde921dbfe55b36b85c5bd71fd6f922195

Observation 55143e60-7c8b-46ca-8725-97ec0ee70f03 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 18

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source=arxiv_source observed=2026-07-31T09:20:47.404749Z digest=sha256:757d3f44d65411bb6b292c9f41b7224ba9d880aaa0cf6804afef9922639d3c06

Observation efd691aa-7496-47e5-be50-cac9d31a390d · outbound

This paper cites 2025 , url=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 2025 , url=

Reference 19

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source=arxiv_source observed=2026-07-31T09:20:47.463908Z digest=sha256:5369c1c0bfb4c3ee53a1aa0032ac7708a3527b71a8555c77d1d6ffd43714ce0c

Observation 7da03c32-1afd-4cf4-b1d7-13db761c5ec5 · outbound

This paper cites 2024 , url=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 2024 , url=

Reference 20

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source=arxiv_source observed=2026-07-31T09:20:47.501900Z digest=sha256:f0b714fd25fac0d714ece08cab32a4eda54c6f0e748e3f1311e5816c9200ed9d

Observation 9560e457-04f6-468d-93ca-02e9cf9ef28d · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 21

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source=arxiv_source observed=2026-07-31T09:20:47.554747Z digest=sha256:0ebc4097aa0f613cb601bcfb5c2a563684d20bca2403e8987d4b9e14968892d0

Observation ed897840-c828-469f-a7c1-2622c93c569f · outbound

This paper cites Philosophical Transactions of the Royal Society of London, Series A: Containing Papers of a Mathematical or Physical Character , number =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Philosophical Transactions of the Royal Society of London, Series A: Containing Papers of a Mathematical or Physical Character , number =

Reference 22

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source=arxiv_source observed=2026-07-31T09:20:47.568436Z digest=sha256:493d17a26defdc1a64485aac7644d338143008721c0c35fbbe42b81c64af86a4

Observation 8e4ec658-1bb7-4a87-a916-41c8560806c0 · outbound

This paper cites Neural Comput.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Neural Comput

Reference 23

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source=arxiv_source observed=2026-07-31T09:20:47.585923Z digest=sha256:4d0ef512de9f387c948508bade479a2df10ded14b9a4a5c275afae6602542bb1

Observation 43ee47df-e5ad-4473-8302-d11c89e7d5d6 · outbound

This paper cites 2007 , publisher=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 2007 , publisher=

Reference 24

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source=arxiv_source observed=2026-07-31T09:20:47.617215Z digest=sha256:1bfc5c9370185f3c8b061bd506a0db1e06e28dd847362320621771430caf9a8d

Observation 8b25c98f-a700-4a8f-b939-1829af77fcf2 · outbound

This paper cites Dhillon and Joydeep Ghosh and Suvrit Sra , title =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Dhillon and Joydeep Ghosh and Suvrit Sra , title =

Reference 25

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source=arxiv_source observed=2026-07-31T09:20:47.622112Z digest=sha256:e9b3d0749ee031cdd8e0ae9011e76ff64d0007d2a072d6302543b7c582269481

Observation 2cc76b98-7048-491a-99bc-075b3dda3d51 · outbound

This paper cites 1978 , publisher=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 1978 , publisher=

Reference 26

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source=arxiv_source observed=2026-07-31T09:20:47.626756Z digest=sha256:c30dcdf2413e2414ec568fba1a69727671afad6bc14434714822cb28ce4b238f

Observation d482e5f2-9198-491e-a00a-4b1b070f3908 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Gemma 2: Improving Open Language Models at a Practical Size

Reference 27

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source=arxiv_source observed=2026-07-31T09:20:47.631310Z digest=sha256:87d8dccaadcc56180b00f0d5c5ae851c333117a54ce32ee1eff6880107f5b1a1

Observation 6a418594-ace3-4227-82a2-68518288acf4 · outbound

This paper cites Open Problems in Mechanistic Interpretability , journal =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Open Problems in Mechanistic Interpretability , journal =

Reference 28

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source=arxiv_source observed=2026-07-31T09:20:47.637750Z digest=sha256:0157ee78f0e7551147dd37a56d4a218d59e387fbdba848f69ead9044d05a140d

Observation 32ac9f4a-49ca-4b98-8429-996334ff1253 · outbound

This paper cites an unresolved cited work.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-07-31T09:20:47.684746Z digest=sha256:01d91a514a4dd473e3dca3a867c53ba800fc172193cd7362daa823e6fb452fff

Observation 2dd65ac7-d348-4a62-8d9e-166c7cff89d8 · outbound

This paper cites Transformer Circuits Thread , note=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Transformer Circuits Thread , note=

Reference 30

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source=arxiv_source observed=2026-07-31T09:20:47.734748Z digest=sha256:9e1e233b0b62b4ff21dacd85ac1d43a0f903ab84875ea373fef5db9c968779b6

Observation 65698af8-2076-4117-8b71-2c1a93df0257 · outbound

This paper cites 2023 , url=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 2023 , url=

Reference 31

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source=arxiv_source observed=2026-07-31T09:20:47.765948Z digest=sha256:05d62396a59a78c4b35d7679f7c0a89abb3e6807cd471e878f28a4ed2e57d962

Observation e2ecc4ea-e9d3-4e8c-b628-0ceaa7e216dd · outbound

This paper cites 2025 , url=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 2025 , url=

Reference 32

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source=arxiv_source observed=2026-07-31T09:20:47.774448Z digest=sha256:78e6375187ec8682c505ab2aa0e844fc2a050a6d97304fe75d78cd52e70ce20d

Observation 5068be4f-333c-482c-8de0-e040e38e4822 · outbound

This paper cites CoRR , volume =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects CoRR , volume =

Reference 33

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source=arxiv_source observed=2026-07-31T09:20:47.779872Z digest=sha256:d6ff434dc417969b802b418733a87aa2df696fa2f094dfaaa8e3b73fc8679554

Observation f95d9cae-5bc6-408d-add2-257c6b55aac0 · outbound

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

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects The Rate-Distortion-Polysemanticity Tradeoff in SAEs

Reference 34

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local_arxiv, observed 2026-07-31T09:25:51.726172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-07-31T09:20:47.787462Z digest=sha256:6e6a99e6d2f7109f0ce7a6c5c65a679c8004d51100166afbb611ee1476715512

Observation b46b3438-de83-42f1-a4f0-a0a7bdce1bb3 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects The Fourteenth International Conference on Learning Representations , year=

Reference 35

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source=arxiv_source observed=2026-07-31T09:20:47.795087Z digest=sha256:1e346b7dd03444a1bf2a2e134a238b543a47ac937435e0a992a59d58855761f7

Observation 750c85ec-9c20-4096-a189-9059a378a7ef · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects The Thirteenth International Conference on Learning Representations,

Reference 36

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source=arxiv_source observed=2026-07-31T09:20:47.802535Z digest=sha256:687a1953b84584f34928ad0acc59f5ebb60ef27df6ee3742055acaa2d34089a0

Observation 96c29936-d304-45a3-82d6-eb1c7bcc2a24 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 37

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source=arxiv_source observed=2026-07-31T09:20:47.807218Z digest=sha256:b17e53e035f462bdd05e48fff88e9d2599e1c3a110bf9986d77eb53d8a2f60a4

Observation 23b23358-df0d-4303-aa0f-52e1324b76c5 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects The Thirteenth International Conference on Learning Representations , year=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-31T09:20:47.811716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T09:20:47.811716Z digest=sha256:6e850929ee0d1843c09cf57bd464b24f6f9dc11e1c3171131f1d86cccb25b238

Observation b4465b8c-aa28-4f5f-bda5-bc8652ede626 · outbound

This paper cites 2023 , howpublished =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 2023 , howpublished =

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-31T09:20:47.816708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T09:20:47.816708Z digest=sha256:5f02aa07c4b5bea8048f9cb2f5871151f0b8fc4b612bfda7265c87a57284fc14

Observation 21d3fd2c-482a-47bf-9b34-a88242b01f9f · outbound

This paper cites SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-31T09:20:47.823065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T09:20:47.823065Z digest=sha256:e41285ca912c7911c3a4b4e40a3d6276f2400bef8d71f0b6186783870178f1d3

Observation 2fe24b5b-c982-476e-9274-c4162b06650b · outbound

This paper cites Lozier , title =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Lozier , title =

Reference 41

Resolution
verified exact
doi, observed 2026-07-31T09:25:51.625759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-07-31T09:20:47.828325Z digest=sha256:0d5e849a690c0c0a600f0abecbdb144b247dbc8ecd7f1db36f0dd5e7473cf4c6

Observation b2999ae5-c75b-4a71-b51c-99e4da36c70b · outbound

This paper cites Proceedings of the Eighteenth Annual.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Proceedings of the Eighteenth Annual

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-31T09:20:47.833315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T09:20:47.833315Z digest=sha256:30366fe8cdf829f1573dbf3cb306bce15128d53e8a59fecb97a68be1c7937123

Observation 464f8add-73f7-49c8-8bc3-8021397d4b42 · outbound

This paper cites 2007 , url =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects 2007 , url =

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-31T09:20:47.837475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T09:20:47.837475Z digest=sha256:38e55d0f55c5f5e9d743c028eb650f74997066ca9e0e5f7b4636651b380c5532

Observation 69dbeaff-9493-4fd2-8ea4-3104baf46dcd · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-31T09:20:47.841420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T09:20:47.841420Z digest=sha256:7837821c6b995ead03d36a2d744bcae71554cff30b41ed13ba88b15528a018c3

Observation be909438-f0f9-4625-be55-6ab79077cbeb · outbound

This paper cites Proceedings of the 42nd International Conference on Machine Learning , pages =.

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects Proceedings of the 42nd International Conference on Machine Learning , pages =

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-31T09:20:47.845917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T09:20:47.845917Z digest=sha256:ff05ab1cb062c421ad35afa5b0298b72c268f5f9995e69991adcbd4ece924864

Pith citing papers

No inbound Pith citation observations are available.