Paper Citation Record · LEDGER

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders

As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 3 inbound Pith citation observations for arXiv:2508.16560.

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

pith.paper-citation-record.v1
2508.16560 v4

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:18:56.858736Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:40:27.584739Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:36:25.794218Z

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy8
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea91efb9-c09b-47e8-970d-cccdc32e32e5 · outbound

This paper cites Feature hedging: Correlated features break narrow sparse autoencoders.arXiv preprint arXiv:2505.11756,.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Feature hedging: Correlated features break narrow sparse autoencoders.arXiv preprint arXiv:2505.11756,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:54.509236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c05d986-410d-4ef0-b766-33eb185b1a40 · outbound

This paper cites Dictionary learning optimization techniques.https: //transformer-circuits.pub/2025/january-update,.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Dictionary learning optimization techniques.https: //transformer-circuits.pub/2025/january-update,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:59.568468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0e611eb-21d1-488a-91b6-ac57c2747d49 · outbound

This paper cites The Llama 3 Herd of Models.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders The Llama 3 Herd of Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:54.777391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a2fde88-c213-45d6-b2c7-4630a1c72e8b · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:55.043237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85e4a851-3abf-439e-8848-9eda8427f7e1 · outbound

This paper cites Are Sparse Autoencoders Useful? A Case Study in Sparse Probing.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:55.289843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17437237-317a-4538-84de-91207aabd307 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Adam: A Method for Stochastic Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:55.423730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b5aca8-e888-426f-8387-ad271dc4b08a · outbound

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

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:55.529394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beab2e75-a3f0-4462-af17-39b6f5dce6a8 · outbound

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

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Gemma 2: Improving Open Language Models at a Practical Size

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:55.632316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f90aaef-7103-4c7f-a616-dc6de6694890 · outbound

This paper cites AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:55.749890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 525d2484-d664-4c1a-a87e-d8cd12acdb0d · outbound

This paper cites an unresolved cited work.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:18:59.288062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 239fed1d-0bc9-4536-9b64-629195747781 · outbound

This paper cites For BatchTopK SAEs, there is no sparsity penalty as sparsity is enforced by the BatchTopK function.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders For BatchTopK SAEs, there is no sparsity penalty as sparsity is enforced by the BatchTopK function

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:59.014988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a8456d8-9368-475d-a7eb-61530f26297d · outbound

This paper cites We use a learning rate of3e −4 with no warmup or decay.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders We use a learning rate of3e −4 with no warmup or decay

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:58.683267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d987020c-7963-48b9-bb95-b9b2ee45d246 · outbound

This paper cites The metric is minimized at the true L0.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders The metric is minimized at the true L0

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:58.510680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6919888b-c2b2-4854-9f47-0059caaf9dce · outbound

This paper cites We include all SAEs cross-listed in both SAELens and Neuronpedia with an L0 reported in SAELens.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders We include all SAEs cross-listed in both SAELens and Neuronpedia with an L0 reported in SAELens

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:58.332535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8dc7b0e2-e097-45f2-bea0-1b5457b6d0f3 · outbound

This paper cites However, we find that most open-source SAEs have L0 below 100, much lower than our analysis expects to be ideal.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders However, we find that most open-source SAEs have L0 below 100, much lower than our analysis expects to be ideal

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:58.019875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fbd6256-801c-46a9-8c34-eebb4dfd2ef2 · outbound

This paper cites elbow” point, but the “elbow.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders elbow” point, but the “elbow

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:57.791364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a44e8dae-29e9-4470-863e-96abbc676ec7 · outbound

This paper cites an unresolved cited work.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:18:57.520272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b65905ce-f407-444d-8b5a-fdc66c4b27fb · outbound

This paper cites The threshold for BatchTopK is much higher than it is for JumpReLU, and the threshold decreases as L0 increses.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders The threshold for BatchTopK is much higher than it is for JumpReLU, and the threshold decreases as L0 increses

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:57.294683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5400b549-3046-479c-8abe-3340cb3bbf18 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Scaling and evaluating sparse autoencoders

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:55.166754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba039a99-074f-4e6d-bd04-a9cf50401773 · outbound

This paper cites Decomposing The Dark Matter of Sparse Autoencoders.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Decomposing The Dark Matter of Sparse Autoencoders

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:54.886073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0c8dfd4-f44e-49bd-9257-744ca2bd4923 · outbound

This paper cites BatchTopK Sparse Autoencoders.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders BatchTopK Sparse Autoencoders

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:54.161687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd93be14-1c3c-4914-b46a-4a3b389dff4b · outbound

This paper cites Learning Multi-Level Features with Matryoshka Sparse Autoencoders.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Learning Multi-Level Features with Matryoshka Sparse Autoencoders

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:54.254819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9240924-e2ae-45e8-81d5-21e6a10bb076 · outbound

This paper cites A is for absorption: Studying feature splitting and absorption in sparse autoencoders.arXiv preprint arXiv:2409.14507,.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders A is for absorption: Studying feature splitting and absorption in sparse autoencoders.arXiv preprint arXiv:2409.14507,

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:54.344796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5582e680-8fbd-4b78-9a34-99908386a6a4 · inbound

SATORI: Static Test Oracle Generation for REST APIs cites this paper.

SATORI: Static Test Oracle Generation for REST APIs Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T17:26:48.667582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa80f82-a054-4b72-a244-305da658db4a · inbound

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

Perplexity Can Miss SAE Feature Damage Under Quantization Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:07.154573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae5621bf-2ff7-4fb1-81f8-e70b7b795ef8 · inbound

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

Building Fast, Evaluating Slow: Pipeline Choices Dominate Autointerpretability Score Variance Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T15:40:27.584739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.