AINeutralarXiv – CS AI · 14h ago6/10
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From Attribution to Action: A Human-Centered Application of Activation Steering
Researchers introduce an interactive workflow combining Sparse Autoencoders (SAE) and activation steering to make AI explainability actionable for practitioners. Through expert interviews with debugging tasks on CLIP, the study reveals that activation steering enables hypothesis testing and intervention-based debugging, though practitioners emphasize trust in observed model behavior over explanation plausibility and identify risks like ripple effects and limited generalization.
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