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Inoculation adapters can suppress undesired traits in AI models while introducing fewer unexpected vulnerabilities compared to traditional inoculation prompting methods.
Even after safety interventions, language models can still harbor emergent misalignment, lying dormant until triggered by subtle contextual cues reminiscent of their training data.
