Runtime Adaptive Behavioral Direction Control in Autoregressive Transformers via Closed-Loop Activation Telemetry
Large language models encode behavioral constraints directly within their latent representations. Existing approaches to modifying these behaviors rely on parameter-level adjustments (Supervised Fine-Tuning, Reinforcement Learning from Human Feedback, or permanent weight abliteration). These irreversibly alter model we...