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From Detection to Refusal: Safer LLMs via Circuit-Guided Weight Scaling
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safetymechanistic interpretabilityadversarial robustnessLLM architecture
2609.00051
Builder Relevance
2h ago80%
Abstract
This paper investigates the internal mechanisms of safety in Large Language Models (LLMs) and proposes a multi-stage safety circuit that enhances refusal behavior against harmful inputs.
Reality Card
Core Claim
Circuit-guided weight scaling improves safety rates under adversarial attacks by 26.5% with only a 1.7% drop in accuracy across standard benchmarks.
Method / Result
26.5% improvement in safety rates under attacks across six LLMs.
Limitations
The paper does not specify the authors or provide detailed experimental setups, which may hinder reproducibility.
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