How Alignment Routes: Localizing, Scaling, and Controlling Policy Circuits in Language Models

Researchers have localized and scaled a policy routing mechanism in alignment-trained language models, identifying an attention gate and amplifier heads that control model behavior from refusal to factual answering. This discovery is crucial for developers as it reveals how safety features are implemented and can be bypassed at scale, highlighting the need for robust auditing methods like interchange testing to ensure model reliability.

Read the full article at arXiv cs.CL (NLP)

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