Paper Citation Record · LEDGER

Improving Steering Vectors by Targeting Sparse Autoencoder Features

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2411.02193.

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

pith.paper-citation-record.v1
2411.02193 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:04.619230Z

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

1
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 d87ac576-f7f9-4db6-9b55-bd6313842b14 · inbound

Interpretable Steering of Large Language Models with Feature Guided Activation Additions cites this paper.

Interpretable Steering of Large Language Models with Feature Guided Activation Additions Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T19:34:26.909588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e0726db-180b-438b-a167-df0d0d9fc048 · 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 Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T10:11:51.456407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db28d5ab-e1f6-455e-b915-4cf6bcdd1b09 · inbound

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models cites this paper.

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:04.619230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997387e0-15fc-43cc-80c4-f72d534c6612 · inbound

Patterns and Mechanisms of Contrastive Activation Engineering cites this paper.

Patterns and Mechanisms of Contrastive Activation Engineering Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:00:08.637537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3159d892-b602-495b-89bc-6bd7b45f991a · inbound

Steering Large Language Models for Machine Translation Personalization cites this paper.

Steering Large Language Models for Machine Translation Personalization Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:47.266440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d04aa17b-e3fd-4de2-a6cf-85e93322aba3 · inbound

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

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.154435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d775816-7bcf-4e05-8ed6-7fdbe7c05813 · inbound

Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms cites this paper.

Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T14:38:52.048185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2788b2d-648a-43fe-ad66-258085818b62 · inbound

Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning cites this paper.

Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:03.859840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249a05ac-306b-4253-be12-a13783ea0df7 · inbound

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction cites this paper.

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:16.005446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8ea653f-a2ff-40a9-9f0f-2877412ba779 · inbound

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety cites this paper.

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:24:26.327706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ecc1534-6c9f-49e4-81b8-68ce454375a6 · inbound

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing cites this paper.

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:17:36.642532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efe046f6-92c2-46b7-9b2f-cee2a16178d3 · inbound

The Cylindrical Representation Hypothesis for Language Model Steering cites this paper.

The Cylindrical Representation Hypothesis for Language Model Steering Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T00:15:09.223743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65f92ce2-2593-4cf3-a524-e6b9fcbb500a · inbound

All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs cites this paper.

All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 139

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:52:57.527901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f511845b-8969-4720-adb8-b16a3ba7c1c8 · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:17:56.346581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2d3e1cc-94f8-4272-aa30-04606ceac725 · inbound

Multilingual Steering by Design: Multilingual Sparse Autoencoders and Principled Layer Selection cites this paper.

Multilingual Steering by Design: Multilingual Sparse Autoencoders and Principled Layer Selection Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.360944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3bc28867-5b0b-4ff6-a2ce-5d611bb1657e · inbound

Steered Generation via Gradient-Based Optimization on Sparse Query Features cites this paper.

Steered Generation via Gradient-Based Optimization on Sparse Query Features Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:40.347296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed9e2903-39d0-4779-bc04-32b6c2fb40e4 · inbound

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection cites this paper.

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:03:29.915587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 492e8566-3c24-4653-9b73-e8ab6757d336 · inbound

Sense Representations Are Inducible Interfaces cites this paper.

Sense Representations Are Inducible Interfaces Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:43:25.927568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7aa1c0c-293d-4012-957d-9cecb84c59f7 · inbound

Perplexity Can Miss SAE Feature Damage Under Quantization cites this paper.

Perplexity Can Miss SAE Feature Damage Under Quantization Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:36:25.775517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3caf54b0-a883-4c84-85a5-80e605dc1aeb · inbound

SAEExplainer: Interpreting SAE Features with Activation-Guided Preference Optimization cites this paper.

SAEExplainer: Interpreting SAE Features with Activation-Guided Preference Optimization Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:57:25.979965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57e5a1e5-e8bb-437e-9e79-25a1da05a53e · inbound

Data-Efficient Adaptation of LLMs via Attention Head Reweighting cites this paper.

Data-Efficient Adaptation of LLMs via Attention Head Reweighting Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:33.834746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6ed6efa-fd40-47f7-9eb6-a9242dcde22b · inbound

SAE-StatSteer: Statistical Consensus Feature Selection for Optimization-Free Activation Steering of Large Language Models cites this paper.

SAE-StatSteer: Statistical Consensus Feature Selection for Optimization-Free Activation Steering of Large Language Models Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:22.541696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56b1e10-1f41-4f71-83e1-b1bb8170c523 · inbound

Building Fast, Evaluating Slow: Pipeline Choices Dominate Autointerpretability Score Variance cites this paper.

Building Fast, Evaluating Slow: Pipeline Choices Dominate Autointerpretability Score Variance Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T15:40:27.580176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 889572a1-6481-45a4-8454-7b08237fae3b · inbound

Are Single-Token Sparse Autoencoder Features Causally Necessary? Layer-Depth and SAE-Family Effects cites this paper.

Are Single-Token Sparse Autoencoder Features Causally Necessary? Layer-Depth and SAE-Family Effects Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:03:54.246937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d31c6b-6113-4383-8ef4-9414b4106360 · inbound

Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry cites this paper.

Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T09:29:08.246807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ddab83-8554-4767-b1f0-ac42b38d2f86 · inbound

Where Steering Signals Come From: Activation Source Selection in Activation Steering cites this paper.

Where Steering Signals Come From: Activation Source Selection in Activation Steering Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T03:00:44.857125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d4d3ffb-4e11-41ee-9a8b-d23e084a3566 · inbound

Strengthening Target-Language Features: SAE-Based Steering for Multilingual Inference cites this paper.

Strengthening Target-Language Features: SAE-Based Steering for Multilingual Inference Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:22.619018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a5b0956-a5ef-4e89-837b-69cc09f4c8ac · inbound

Strengthening Target-Language Features: SAE-Based Steering for Multilingual Inference cites this paper.

Strengthening Target-Language Features: SAE-Based Steering for Multilingual Inference Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T17:24:54.634750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89d40b0a-aac5-4717-bc22-07248c76fd78 · inbound

Safety Cost of Steering Vectors Is Separable and Reducible cites this paper.

Safety Cost of Steering Vectors Is Separable and Reducible Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:44:58.116351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43ba2f96-a5c6-4735-86fe-6cae3d525ce5 · inbound

Steering dense music retrieval with open-vocabulary concept discovery cites this paper.

Steering dense music retrieval with open-vocabulary concept discovery Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T04:29:55.042128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae5706b-c4c3-4713-829f-3cfd8479df19 · inbound

Multimodal Model Diffing for Feature Discovery and Control cites this paper.

Multimodal Model Diffing for Feature Discovery and Control Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T04:17:55.782849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28912497-2ae8-455e-bef5-4dac6d18dc86 · 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 Improving Steering Vectors by Targeting Sparse Autoencoder Features

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T13:29:00.072086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.