FLAS learns a multi-step velocity field v_t(h,t,c) to steer activations, outperforming prompting with harmonic means of 1.015 and 1.113 on two Gemma models without per-concept tuning.
Phillips, Fazl Barez, and Amirali Abdullah
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Beyond Steering Vector: Flow-based Activation Steering for Inference-Time Intervention
FLAS learns a multi-step velocity field v_t(h,t,c) to steer activations, outperforming prompting with harmonic means of 1.015 and 1.113 on two Gemma models without per-concept tuning.