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MetaSteer: Context-Conditioned, nonlinear Steering via Attention-Projection Adaptation
Steering large language models typically relies on linear, context-independent interventions in activation space, an assumption that recent work has challenged and that can induce an information bottleneck when a fixed representation must encode many behavioral distinctions. We introduce MetaSteer,
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