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Values as Style: Disentangling Values from Semantics with One-Way Mixing for Low-Damage LLM Steering
Value steering should change an LLM's normative priorities while preserving the scenario, facts, and task constraints underlying its answer. Conventional activation edits often change both. We introduce an editable semantic-value interface on frozen residual states, with a one-way semantic-to-value
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