ConVA identifies value-specific directions in an LLM's internal activations from context-matched GPT-4o-generated examples and gates minimal activation steering to control outputs across ten Schwartz values.
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Internal Value Alignment in Large Language Models through Controlled Value Vector Activation
ConVA identifies value-specific directions in an LLM's internal activations from context-matched GPT-4o-generated examples and gates minimal activation steering to control outputs across ten Schwartz values.