Activation steering modifies a model’s internal representations to guide its outputs without retraining. By adjusting neuron activations during inference, practitioners suppress biases, enhance creativity, or enforce specific behaviors. AI researchers, developers, and safety teams benefit from this efficient technique to control large language models precisely, improving reliability and alignment with desired outcomes.
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