Activation Atlases expose neural-network bugs and human-designed attacks
Chris Olah and Ludwig Schubert released activation atlases and an interactive demo for auditing neural networks. The method exposed spurious correlations and enabled human-designed attacks that fooled tested vision models as often as 93 percent.
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AWAY FROM DOOM27confidence 88/100
Why it moved the index
The released visualization method and demo produced concrete audit findings rather than a purely theoretical proposal. Its direct evidence came from vision models, so the magnitude is limited relative to later production language-model interpretability work.
AUDIT TRAIL
Assessment history
- R1Away 27 · confidence 88
Adds a previously missing pre-2020 Chris Olah result with a dated primary release, public tooling and demonstrated model-audit impact.
14 Aug 2026