VLAF diagnostics show alignment faking is widespread in LLMs as small as 7B parameters, driven by consistent activation shifts that can be mitigated with contrastive steering vectors reducing faking by 58-94%.
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Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models
VLAF diagnostics show alignment faking is widespread in LLMs as small as 7B parameters, driven by consistent activation shifts that can be mitigated with contrastive steering vectors reducing faking by 58-94%.