Attention Sees, MLP Refuses: Tracing the Attention-to-MLP Safety Pathway in LLMs
Safety-aligned large language models (LLMs) remain vulnerable to jailbreaks and can over-refuse benign requests. Understanding these failures requires distinguishing harmfulness recognition from the computation that writes refusal. We reframe this as a pathway question and make it measurable on residual-stream updates...
Zi-Xuan Weng, Hao-Qi He, Wei-Fei Jin et al.
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