Paper Citation Record · LEDGER

Universal Neurons in GPT2 Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2401.12181.

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

pith.paper-citation-record.v1
2401.12181 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:36.800225Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d799f6df-df6a-4a56-8dec-6e051c7446b7 · inbound

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

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 Universal Neurons in GPT2 Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:47:20.049487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb6c2dec-109d-408f-bb46-b78ebe87ee8a · inbound

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey cites this paper.

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Universal Neurons in GPT2 Language Models

Reference 267

Resolution: unresolved; no resolver link, observed 2026-08-11T23:54:24.491293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b284469-f521-48a7-8ea5-57e1dedfdef2 · inbound

Transcoders Beat Sparse Autoencoders for Interpretability cites this paper.

Transcoders Beat Sparse Autoencoders for Interpretability Universal Neurons in GPT2 Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T22:24:53.855675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29f0d38-d4eb-46d8-8247-0b1de984f8e0 · inbound

Partially Rewriting a Transformer in Natural Language cites this paper.

Partially Rewriting a Transformer in Natural Language Universal Neurons in GPT2 Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T22:21:50.749829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d081c7-3e59-4c9f-ab14-525ca45fc9bb · inbound

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models cites this paper.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Universal Neurons in GPT2 Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:36.800225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06b21c9-d9f1-418f-81c6-0ee5048e8bd9 · inbound

Understanding Gated Neurons in Transformers from Their Input-Output Functionality cites this paper.

Understanding Gated Neurons in Transformers from Their Input-Output Functionality Universal Neurons in GPT2 Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:37.678355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bbb4099-dfb9-49c3-8e17-5a5f76a07e9e · inbound

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis cites this paper.

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis Universal Neurons in GPT2 Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:26.268366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7906ead3-6274-40c2-ab06-820e0f5a241d · inbound

Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models cites this paper.

Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models Universal Neurons in GPT2 Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:49.719227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71362254-d1cc-48e2-a11f-600e6a887661 · inbound

Semantic Convergence: Investigating Shared Representations Across Scaled LLMs cites this paper.

Semantic Convergence: Investigating Shared Representations Across Scaled LLMs Universal Neurons in GPT2 Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:46.392267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c12dc704-8d09-42de-a30a-b4ae672c87ca · inbound

From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer Circuits cites this paper.

From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer Circuits Universal Neurons in GPT2 Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T17:37:54.082946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54340b46-e7cd-436c-8ace-784b398c07b5 · inbound

Expand Neurons, Not Parameters cites this paper.

Expand Neurons, Not Parameters Universal Neurons in GPT2 Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:33:15.014741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b37325c-ff66-41b8-afff-238fb035411d · inbound

Transformers converge to invariant algorithmic cores cites this paper.

Transformers converge to invariant algorithmic cores Universal Neurons in GPT2 Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T20:46:30.089354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99fc2856-9273-464b-bcf5-edf067409c8c · inbound

The Indra Representation Hypothesis for Multimodal Alignment cites this paper.

The Indra Representation Hypothesis for Multimodal Alignment Universal Neurons in GPT2 Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:48.717334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 82799d4e-bfcd-49e3-8e3e-416885fe05cf · inbound

Linear Probe Accuracy Scales with Model Size and Benefits from Multi-Layer Ensembling cites this paper.

Linear Probe Accuracy Scales with Model Size and Benefits from Multi-Layer Ensembling Universal Neurons in GPT2 Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:10:29.169386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f8ad2d9-9060-4004-bee0-5a9d3778b861 · inbound

fmxcoders: Factorized Masked Crosscoders for Cross-Layer Feature Discovery cites this paper.

fmxcoders: Factorized Masked Crosscoders for Cross-Layer Feature Discovery Universal Neurons in GPT2 Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:24.058432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4f891b4-7868-4d9d-bba3-419ad924282e · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Universal Neurons in GPT2 Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:57:58.949222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 390d3f0e-abf0-49fc-a8d3-4789ad401813 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Universal Neurons in GPT2 Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:59:44.422445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f18ee9c1-0c67-44a8-a18e-761609f5ca0a · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Universal Neurons in GPT2 Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:53:47.075488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96799436-8e86-4fcd-bbac-dc692664046c · inbound

Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity cites this paper.

Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity Universal Neurons in GPT2 Language Models

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:09:46.230154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1a11a95-db3f-4493-8c89-f51316a58cf7 · inbound

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations cites this paper.

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations Universal Neurons in GPT2 Language Models

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:46:26.299246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4282052-0b48-4cd2-a8c1-80dab0433a15 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Universal Neurons in GPT2 Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T23:15:23.410991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2b6e53-8a41-468c-8ea2-f0bc144de75a · inbound

After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation cites this paper.

After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation Universal Neurons in GPT2 Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T17:51:35.125183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13dbf6d-d0be-4870-bfc3-81a166505096 · inbound

What, Where, and How: Disentangling the Roles of Task, Language, and Model in Code Model Representations cites this paper.

What, Where, and How: Disentangling the Roles of Task, Language, and Model in Code Model Representations Universal Neurons in GPT2 Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T07:20:35.162084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.