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Steering by Influence: Curvature Aware Data Weighting for Activation Steering

Dixon, James A. E. et al.
arXiv (All) · Papers
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49q2268t0768t50computation-and-languagei-2-6i-2-7machine-learning
Inference-time steering offers cheap, fine-grained control over a language model's outputs by estimating a concept's representation in activation space and shifting activations towards it. Existing methods build these representations from activation averages over contrastive datasets. These averages
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