SAEScientist-Bench: can AI agents autonomously run SAE interpretability research?
CASIA · hf · 2026-09-10
CASIA introduces SAEScientist-Bench, a benchmark testing whether AI agents can autonomously conduct sparse autoencoder (SAE) interpretability research.
- Evaluates agents on autonomous mechanistic interpretability and feature discovery
- Findings: agents show clear progress but still trail expert human baselines by significant margins
The benchmark offers a targeted yardstick for agentic AI research capabilities in interpretability.
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