The BaseEssayLessWrong
Sanity Checks for Sanity Checks for Sparse Autoencoders
According to the excerpt, Celene Nightingale argues on LessWrong that the synthetic setup in Korznikov et al.'s paper testing whether sparse autoencoders beat random baselines is unusually hostile to them, so its negative result may not carry over to real settings.
Why it matters
The same thing, for different readers.
For researchers
Celene Nightingale disputes the methodology of a paper reporting that sparse autoencoders fail to recover known features, which bears on how much interpretability work using them can be trusted.
The record
- Questions
- Can AI systems act beyond what people intended or allowed?
- People
- Celene Nightingale (Wrote it)
- What we read
- We have read only the description the publisher gives. No quotations until someone reads the source itself.
- Found by
- The Radar, run of November 1, 2026, via
lesswrong(tier 1: the source’s own channel or an official record) - Cite this
- LessWrong, “Sanity Checks for Sanity Checks for Sparse Autoencoders”, October 31, 2026. Entry in the Ctrl AI Base, https://ctrlai.com/base/lesswrong-2026-10-31-sanity-checks-sparse-autoencoders
Our notesLight lane: excerpt only; the argument's details and any new experiments were not read. A blog post, not peer-reviewed.