Researchers have developed "Circuit Oracle," a system designed to automate the analysis of attribution graphs in mechanistic interpretability. This system uses a multi-agent harness and natural-language queries to interpret these graphs, which map causal edges between features in language models. While Circuit Oracle showed promise in detecting spurious features, achieving 78.2% accuracy, it was less effective than existing methods for eliciting hidden knowledge from taboo-finetuned models and for suppression jailbreaking. AI
IMPACT This tool could accelerate safety research by automating the analysis of complex model behaviors, though current performance on certain tasks indicates further development is needed.
RANK_REASON The item describes a new research paper detailing a novel system for analyzing attribution graphs in mechanistic interpretability. [lever_c_demoted from research: ic=1 ai=1.0]
- Activation Oracles
- alphaXiv
- arXiv
- Circuit Oracle
- DagsHub
- Gotit.pub
- Hugging Face
- Influence Flower
- mechanistic interpretability
- ScienceCast
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