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Refusal Localizes, the Damage Relocates: Safety Layers Under Few-Sample Fine-Tuning
Fine-tuning adapts aligned large language models (LLMs) to downstream tasks, but a few dozen harmful examples can remove their refusal of harmful requests. Prior work localizes safety-related behavior to specific layers, directions, and tokens, suggesting targets for protection. We test whether succ
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