DSAS is a framework that dynamically scales activation steering in generative models. It decouples when to steer from how to steer, applying interventions only when undesired behavior is detected. Unlike uniform steering methods that degrade model performance, DSAS adaptively modulates steering strength across layers and inputs, preserving baseline capabilities while mitigating issues like toxicity.
Opening Kapyn…