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#circuit-discovery News & Analysis

2 articles tagged with #circuit-discovery. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Feb 277/105
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Certified Circuits: Stability Guarantees for Mechanistic Circuits

Researchers introduce Certified Circuits, a framework that provides provable stability guarantees for neural network circuit discovery. The method wraps existing algorithms with randomized data subsampling to ensure circuit components remain consistent across dataset variations, achieving 91% higher accuracy while using 45% fewer neurons.

AIBullisharXiv – CS AI · Mar 36/106
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CIRCUS: Circuit Consensus under Uncertainty via Stability Ensembles

Researchers introduce CIRCUS, a new method for discovering mechanistic circuits in AI models that addresses uncertainty and brittleness issues in current approaches. The technique creates ensemble attribution graphs and extracts consensus circuits that are 40x smaller while maintaining explanatory power, validated on Gemma-2-2B and Llama-3.2-1B models.