GAPS: Dimension-Level Gates for Conditional Activation Steering; IDEEA reports training-free input-dependent steering via activation cluster matching
Read the original at arxiv.org→arXiv:2609.01878v1 Announce Type: new Abstract: Activation steering suppresses undesired behaviors in language models by adding a steering vector to the hidden state during generation. Recent conditional methods...
Original headline: "GAPS: Dimension-Level Gates for Conditional Activation Steering"
Coverage timeline
- Sep 3, 04:00 UTC arXiv cs.CL lead source GAPS: Dimension-Level Gates for Conditional Activation Steering
- Sep 3, 04:00 UTC arXiv cs.CL IDEEA: training-free Input-Dependent stEEring via Activation cluster matching