A Geometric Information Bottleneck for Activation Steering
This work proposes a disentanglement-based intervention framework, termed IB-ACT, that identifies both where and how to intervene by exploiting the layer-wise geometry of representation spaces to isolate behavior-relevant information without disturbing other dimensions, and introduces a layer-selection mechanism determined prior to intervention.