Researchlinear probessae featuresinterpretabilityllms
LessWrong Author Makes Linear Probes Interpretable
2.5
A LessWrong author reports experimenting with LLMs and SAE features, exploring techniques to make linear probes more interpretable. The post notes attempts to directly evaluate SAE features and discusses challenges encountered during this interpretability work.
Key Points
- 1Experimenting with LLMs, author focuses on making linear probes and SAE features interpretable
- 2Likely explores methods to increase transparency of representation probes, addressing interpretability gaps
- 3May indicate practical challenges when attempting direct evaluation or manipulation of SAE features
Scoring Rationale
Exploratory interpretability work is relevant but niche; RSS-only source limits confidence in methods and findings.
Sources
Public references used for this report.
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