Sparse Autoencoders Bridge The Deep Learning Model and The Brain | Paper Citation Record

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This paper cites DiCarlo and David D.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain DiCarlo and David D

Reference 1

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This paper cites Brain Decodes Deep Nets, March 2024.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Brain Decodes Deep Nets, March 2024

Reference 2

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Observation ac16fd4c-0fd2-4ea6-825a-50812f04e7de · outbound

This paper cites Coggan, Luke A.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Coggan, Luke A

Reference 3

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Observation 8ed88a6e-dcf0-477e-81de-4340be72dde0 · outbound

This paper cites CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks, June 2023.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks, June 2023

Reference 4

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This paper cites Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J

Reference 5

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This paper cites BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation, October 2024.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation, October 2024

Reference 6

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This paper cites Limits to visual representational correspondence between convolutional neural networks and the human brain.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Limits to visual representational correspondence between convolutional neural networks and the human brain

Reference 8

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This paper cites Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models

Reference 9

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This paper cites Neural tuning and representational geometry.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Neural tuning and representational geometry

Reference 10

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Observation cfec7f0b-513f-4157-8f47-c9d236343fb8 · outbound

This paper cites Luo, Margaret M.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Luo, Margaret M

Reference 12

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This paper cites Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M

Reference 13

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Observation a1fd4423-3834-4e91-b3ed-4af9faef856a · outbound

This paper cites Wang, Kendrick Kay, Thomas Naselaris, Michael J.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Wang, Kendrick Kay, Thomas Naselaris, Michael J

Reference 14

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Observation ee54d8b2-9d33-4944-9eac-b2f0bf2e55ee · outbound

This paper cites Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models

Reference 15

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This paper cites Do Vision Transformers See Like Convolutional Neural Networks? In Advances in Neural Information Processing Systems, volume 34, pages 12116–12128.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Do Vision Transformers See Like Convolutional Neural Networks? In Advances in Neural Information Processing Systems, volume 34, pages 12116–12128

Reference 16

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This paper cites CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex

Reference 17

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Observation 73ef3468-b03f-4a28-9e6e-e2b831920254 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models, October 2023.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Sparse Autoencoders Find Highly Interpretable Features in Language Models, October 2023

Reference 18

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This paper cites Michaud, Yonatan Belinkov, David Bau, and Aaron Mueller.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Michaud, Yonatan Belinkov, David Bau, and Aaron Mueller

Reference 19

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This paper cites Allen, Ghislain St-Yves, Yihan Wu, Jesse L.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Allen, Ghislain St-Yves, Yihan Wu, Jesse L

Reference 20

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This paper cites Sparse Autoencoders Do Not Find Canonical Units of Analysis, February 2025.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Sparse Autoencoders Do Not Find Canonical Units of Analysis, February 2025

Reference 21

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This paper cites Scaling and evaluating sparse autoencoders, June 2024.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Scaling and evaluating sparse autoencoders, June 2024

Reference 22

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This paper cites Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders, August 2024.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders, August 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.436344Z

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This paper cites Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba Ba, and Talia Konkle.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba Ba, and Talia Konkle

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.430330Z

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This paper cites Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment, February 2025.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment, February 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.423906Z

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This paper cites Interpreting CLIP with Hierarchical Sparse Autoencoders, February 2025.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Interpreting CLIP with Hierarchical Sparse Autoencoders, February 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.416741Z

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This paper cites Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models, March 2025.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models, March 2025

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.409754Z

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This paper cites The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision, September 2024.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision, September 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.403231Z

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This paper cites Toy Models of Superposition, September 2022.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Toy Models of Superposition, September 2022

Reference 29

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This paper cites [Interim research report] Taking features out of superposition with sparse autoencoders.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain [Interim research report] Taking features out of superposition with sparse autoencoders

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.390478Z

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This paper cites Olshausen, and Yann LeCun.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Olshausen, and Yann LeCun

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.383211Z

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This paper cites A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models, March 2025.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models, March 2025

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.376780Z

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This paper cites A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation

Reference 34

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This paper cites Goodale, John Paul Meenan, Heinrich H.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Goodale, John Paul Meenan, Heinrich H

Reference 35

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Sparse Autoencoders Bridge The Deep Learning Model and The Brain Unresolved cited work

Reference 36

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This paper cites Selectivity for the shape, size, and orientation of objects for grasping in neurons of monkey parietal area aip.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Selectivity for the shape, size, and orientation of objects for grasping in neurons of monkey parietal area aip

Reference 37

Resolution: verified exact; doi, observed 2026-08-07T05:15:21.978586Z

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This paper cites Dumoulin and Brian A.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Dumoulin and Brian A

Reference 38

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Sparse Autoencoders Bridge The Deep Learning Model and The Brain Unresolved cited work

Reference 39

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This paper cites Demb, Valerio Mante, David J.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Demb, Valerio Mante, David J

Reference 40

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This paper cites Levitt, David C.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Levitt, David C

Reference 41

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This paper cites Ziemba, David J.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Ziemba, David J

Reference 42

Resolution: verified exact; doi, observed 2026-08-07T05:15:21.945748Z

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Sparse Autoencoders Bridge The Deep Learning Model and The Brain Unresolved cited work

Reference 43

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This paper cites Epstein and N.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Epstein and N

Reference 44

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Sparse Autoencoders Bridge The Deep Learning Model and The Brain Unresolved cited work

Reference 45

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This paper cites The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients

Reference 46

Resolution: verified exact; doi, observed 2026-08-07T05:15:21.928880Z

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Observation 567a8fcb-cf4e-4c8d-aab8-a57bd37459d3 · outbound

This paper cites Apurva Ratan Murty, and Nancy Kanwisher.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Apurva Ratan Murty, and Nancy Kanwisher

Reference 47

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This paper cites Prince, Kendrick N.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Prince, Kendrick N

Reference 48

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This paper cites Bandettini.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Bandettini

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:21.840630Z

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This paper cites Lawrence Zitnick, and Piotr Dollár.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Lawrence Zitnick, and Piotr Dollár

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.363564Z

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Observation 74f5ab79-85f2-4137-a958-8998f4d78980 · outbound

This paper cites Gao, Alexander G.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Gao, Alexander G

Reference 51

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This paper cites ImageNet: A Large-Scale Hierarchical Image Database.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain ImageNet: A Large-Scale Hierarchical Image Database

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.356290Z

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Observation 581bfd1f-2737-4f01-b985-6e2ca50924bb · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Learning Transferable Visual Models From Natural Language Supervision

Reference 53

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This paper cites Deep Residual Learning for Image Recognition, December 2015.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Deep Residual Learning for Image Recognition, December 2015

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.344292Z

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Observation 4dff1794-0bba-4ffb-b1cf-943022714b0b · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners, December 2021.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Masked Autoencoders Are Scalable Vision Learners, December 2021

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.337156Z

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Observation e2717dd3-878a-4134-9b71-877a55b092d0 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision, February 2024.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain DINOv2: Learning Robust Visual Features without Supervision, February 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.330567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 30f034ae-6bfd-4e3a-8d2e-69938c9085ab · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.323760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b663676-6e2f-4939-961a-116ed77db866 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, June 2021.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, June 2021

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:21.859204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae55b94-5454-4fb2-9c04-54aeeccee942 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library, December 2019.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain PyTorch: An Imperative Style, High-Performance Deep Learning Library, December 2019

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.312814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0845b3f-7b7f-4954-80ef-a2133fb4486d · outbound

This paper cites Network Dissection: Quantify- ing Interpretability of Deep Visual Representations, April 2017.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Network Dissection: Quantify- ing Interpretability of Deep Visual Representations, April 2017

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.306249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ab26f44-2bd5-444e-b043-60a53f82d06f · outbound

This paper cites Similarity of Neural Network Representations Revisited.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Similarity of Neural Network Representations Revisited

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.299601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd867344-927e-41c1-bd2f-52ec663e33ad · outbound

This paper cites CLS" token for all models except SAM. We take the average of all patches in SAM’s target layer output as the.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain CLS" token for all models except SAM. We take the average of all patches in SAM’s target layer output as the

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.292942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 58f67048-8532-4413-b46f-9c36f4dc209b · outbound

This paper cites Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.286562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 350199f0-5cae-4f07-92c3-d0184411a5a7 · outbound

This paper cites Limitations.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Limitations

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.279459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee149728-e09c-4e14-a434-3232c0dc6289 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.273292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 169a25a7-25c0-44ff-b0c9-3795d94b568f · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the paper does not include experiments

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.266922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 809a0918-2106-4fb9-9327-a8a0afab2677 · outbound

This paper cites • Please see the NeurIPS code and data submission guidelines ( https://nips.cc/ public/guides/CodeSubmissionPolicy) for more details.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain • Please see the NeurIPS code and data submission guidelines ( https://nips.cc/ public/guides/CodeSubmissionPolicy) for more details

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.259653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6935fa7f-64cf-415d-8709-285637aaa814 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the paper does not include experiments

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.252663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2cca6628-1c84-4f2a-89cc-b98f2110c654 · outbound

This paper cites an unresolved cited work.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:15:22.245884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07d50278-f8f4-45c4-8edf-54ac2b913cd9 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the paper does not include experiments

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.239697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5224a32-a6c1-42fe-819c-e4a83df67d7a · outbound

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Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.232367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3b0c3cb-82de-4b59-81c4-0468ba34f0e4 · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.224361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66f57fae-fffb-4776-b2ce-95a4a0c69b20 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the paper poses no such risks

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.216948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f066f1a9-a77a-4457-a1be-b23db4200ca6 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the paper does not use existing assets

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.209607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 10f9db14-9b57-4819-9b59-dc26e9b1366f · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the paper does not release new assets

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.203228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0fc203f-2f30-4c0f-b603-5fa38ea8ff2a · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.196096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation db40d816-6daf-4672-8ea3-24b4d56f28ba · outbound

This paper cites All ethical regulations relevant to human research participants were followed.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain All ethical regulations relevant to human research participants were followed

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.189531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 342e66b4-c027-453d-a208-3264a2680dab · outbound

This paper cites Answer: [NA] Justification: The core method in the research does not involve LLMs.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain Answer: [NA] Justification: The core method in the research does not involve LLMs

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:15:22.180837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1a050322-8507-4617-ab52-36878f378b1d · outbound

This paper cites doi: 10.1609/aaai.v39i9.32994.

Sparse Autoencoders Bridge The Deep Learning Model and The Brain doi: 10.1609/aaai.v39i9.32994

Reference 2025

Resolution: verified exact; doi, observed 2026-08-07T05:15:22.009802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers