Paper Citation Record · LEDGER

Transcoders Find Interpretable LLM Feature Circuits

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2406.11944.

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

pith.paper-citation-record.v1
2406.11944 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:06:05.025646Z

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

verified exact0
verified fuzzy0
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External citation measurements

6
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 379428b2-cf50-43eb-abad-fc51edc418c7 · inbound

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions Transcoders Find Interpretable LLM Feature Circuits

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:54.690268Z

Source-reported events for the cited work

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Observation 0c22a108-5382-4e22-88ba-fb89956978d7 · inbound

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders cites this paper.

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders Transcoders Find Interpretable LLM Feature Circuits

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T21:17:17.200001Z

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Observation 857d6d2a-c940-435b-af91-f7e7e6bbd5e5 · 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 Transcoders Find Interpretable LLM Feature Circuits

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:02.002736Z

Source-reported events for the cited work

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Observation 0e814619-2107-4595-9062-a38af8b9a3cd · inbound

Transcoders Beat Sparse Autoencoders for Interpretability cites this paper.

Transcoders Beat Sparse Autoencoders for Interpretability Transcoders Find Interpretable LLM Feature Circuits

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T22:24:53.833482Z

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Observation bd32d894-72f3-43de-a43d-bd0ce0c9275c · inbound

Partially Rewriting a Transformer in Natural Language cites this paper.

Partially Rewriting a Transformer in Natural Language Transcoders Find Interpretable LLM Feature Circuits

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T22:21:50.720744Z

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Observation bd06ef27-8348-4db3-9da3-6a3aeef9afdb · inbound

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning cites this paper.

Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning Transcoders Find Interpretable LLM Feature Circuits

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T17:58:34.177121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7aadacf-6725-4519-b232-02aba34b30f3 · 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 Transcoders Find Interpretable LLM Feature Circuits

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T10:11:51.469627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 874c877f-280d-497d-bf95-e3984e979e07 · inbound

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

Sparse Autoencoders Do Not Find Canonical Units of Analysis Transcoders Find Interpretable LLM Feature Circuits

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T21:12:13.815125Z

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Observation 41b87ddb-d447-4b82-87c5-ef8e8d67fea8 · inbound

Scaling sparse feature circuit finding for in-context learning cites this paper.

Scaling sparse feature circuit finding for in-context learning Transcoders Find Interpretable LLM Feature Circuits

Reference 22

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Source-reported events for the cited work

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Observation a5bf3096-13ae-4fc6-b63d-faf210e7058f · inbound

Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition cites this paper.

Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition Transcoders Find Interpretable LLM Feature Circuits

Reference 16

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Source-reported events for the cited work

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Observation 1bdd8fd1-31fb-440f-ac7e-f730a830fca3 · inbound

Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures cites this paper.

Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures Transcoders Find Interpretable LLM Feature Circuits

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:15.162228Z

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Unavailable: canonical work link unavailable.

Observation 73fed3ac-c32c-4424-987d-535437ef2b76 · inbound

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? cites this paper.

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? Transcoders Find Interpretable LLM Feature Circuits

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:21.072683Z

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Observation 305bf029-f788-413c-a67e-86e59700806e · inbound

RCStat: A Statistical Framework for using Relative Contextualization in Transformers cites this paper.

RCStat: A Statistical Framework for using Relative Contextualization in Transformers Transcoders Find Interpretable LLM Feature Circuits

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T18:40:37.650165Z

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Unavailable: canonical work link unavailable.

Observation 28e4f11c-d675-4fef-b678-360e2fcb902d · inbound

Cross-Layer Discrete Concept Discovery for Interpreting Language Models cites this paper.

Cross-Layer Discrete Concept Discovery for Interpreting Language Models Transcoders Find Interpretable LLM Feature Circuits

Reference 2021

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Source-reported events for the cited work

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Observation 85e77101-b6ba-4207-bf9b-8c9ccf225721 · inbound

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories cites this paper.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Transcoders Find Interpretable LLM Feature Circuits

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45d1f631-5cf5-46aa-bc47-32db5aa3e311 · inbound

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

BlueGlass: A Framework for Composite AI Safety Transcoders Find Interpretable LLM Feature Circuits

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:17.561067Z

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Observation ae07df43-5c5b-4ada-88af-d3dc7ad647cd · inbound

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation cites this paper.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Transcoders Find Interpretable LLM Feature Circuits

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T18:47:45.265327Z

Source-reported events for the cited work

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Observation 7dfd39f7-2da9-4227-b077-c9105219996a · inbound

How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding cites this paper.

How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding Transcoders Find Interpretable LLM Feature Circuits

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:36.127974Z

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Observation b8f9e34c-0dec-4fe2-bf92-56b08729be5e · 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 Transcoders Find Interpretable LLM Feature Circuits

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T12:29:39.563314Z

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Observation 02ca933a-765e-4aa0-854d-013d0dba4500 · inbound

Emotion Concepts and their Function in a Large Language Model cites this paper.

Emotion Concepts and their Function in a Large Language Model Transcoders Find Interpretable LLM Feature Circuits

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:35:57.943307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b1e3d4f8-a0ed-472e-ac93-16fc02ebc1dc · inbound

Understanding the Mechanism of Altruism in Large Language Models cites this paper.

Understanding the Mechanism of Altruism in Large Language Models Transcoders Find Interpretable LLM Feature Circuits

Reference 236

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cb8bc351-cdbe-4d14-a2bc-2b64568af97d · inbound

Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience cites this paper.

Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience Transcoders Find Interpretable LLM Feature Circuits

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-09T00:24:28.670130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 564dfb56-d1c4-4d0b-a39d-2fd46d858fcb · inbound

From Token Lists to Graph Motifs: Weisfeiler-Lehman Analysis of Sparse Autoencoder Features cites this paper.

From Token Lists to Graph Motifs: Weisfeiler-Lehman Analysis of Sparse Autoencoder Features Transcoders Find Interpretable LLM Feature Circuits

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:11.055181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2805d20e-ad21-4380-bcd2-276cf7b4d5fe · inbound

From Mechanistic to Compositional Interpretability cites this paper.

From Mechanistic to Compositional Interpretability Transcoders Find Interpretable LLM Feature Circuits

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:46:18.555932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 53c7f48d-b347-45eb-8d35-4ce21ec90d9e · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Transcoders Find Interpretable LLM Feature Circuits

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:53:47.242717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86342e52-49f8-45e7-89d4-378414b619c6 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Transcoders Find Interpretable LLM Feature Circuits

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:49:50.160301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e60af32d-7b8b-4a3a-9ba8-67e40602853a · inbound

Reading Task Failure Off the Activations: A Sparse-Feature Audit of GPT-2 Small on Indirect Object Identification cites this paper.

Reading Task Failure Off the Activations: A Sparse-Feature Audit of GPT-2 Small on Indirect Object Identification Transcoders Find Interpretable LLM Feature Circuits

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:44:42.756151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 31f5b5fb-32e8-4f81-81f0-6a12c968de41 · inbound

ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions cites this paper.

ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions Transcoders Find Interpretable LLM Feature Circuits

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.510603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aec6e571-7567-496c-8720-770632b714cb · inbound

Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m cites this paper.

Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m Transcoders Find Interpretable LLM Feature Circuits

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:14:45.542319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ac811f4-7e2f-4f79-bca5-30038b4f1f63 · inbound

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet cites this paper.

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet Transcoders Find Interpretable LLM Feature Circuits

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01004121-5282-4dc4-a141-4652f2c23ad2 · inbound

Sparsely gated tiny linear experts cites this paper.

Sparsely gated tiny linear experts Transcoders Find Interpretable LLM Feature Circuits

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:09.314503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d595113-8780-425b-914e-f9aa7c96e2f2 · inbound

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

Interactions Between Crosscoder Features: A Compact Proofs Perspective Transcoders Find Interpretable LLM Feature Circuits

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:07:28.669471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 70c3af1d-2434-48eb-bc8a-6922bae50f2c · 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 Transcoders Find Interpretable LLM Feature Circuits

Reference 47

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1dca91b4-4811-43b2-a629-62de8707da3d · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Transcoders Find Interpretable LLM Feature Circuits

Reference 11

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Observation b6f75f6e-e1b0-43d6-a9e3-fec9811898fd · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Transcoders Find Interpretable LLM Feature Circuits

Reference 156

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Observation 9b9bd103-8203-42ef-adc8-eda0accbfd16 · inbound

Transcoders for Investigating Deception in Language Models cites this paper.

Transcoders for Investigating Deception in Language Models Transcoders Find Interpretable LLM Feature Circuits

Reference 15

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Unavailable: canonical work link unavailable.

Observation 914133ed-5878-495d-985e-60fd8a0ad5e6 · inbound

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

Verbalizable Representations Form a Global Workspace in Language Models Transcoders Find Interpretable LLM Feature Circuits

Reference 43

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Source-reported events for the cited work

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Observation 54730b82-5245-4b7e-bd5e-c4fd189d1119 · inbound

Retrieval is Enough: Training-Free Interpretability with a Tool-Using Agent cites this paper.

Retrieval is Enough: Training-Free Interpretability with a Tool-Using Agent Transcoders Find Interpretable LLM Feature Circuits

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T20:58:51.267585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b6cba91-b16a-4c16-b976-b1f8874741f8 · inbound

Sparse Weight Decomposition for Efficient Circuit Extraction cites this paper.

Sparse Weight Decomposition for Efficient Circuit Extraction Transcoders Find Interpretable LLM Feature Circuits

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-15T14:51:45.393010Z

Source-reported events for the cited work

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Observation e2c8b7a4-14b2-435e-b6d2-227558dc75df · inbound

Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation cites this paper.

Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation Transcoders Find Interpretable LLM Feature Circuits

Reference 19

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Source-reported events for the cited work

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