dailyai.report

An iterative data generation pipeline now isolates cascading linear features to detect and control model sycophancy. Researchers moved beyond binary sample pairs to identify features that scale linearly with behavior. This approach improves feature disentanglement over traditional activation steering. ArXiv researchers demonstrate that this method allows for more precise steering of LLM behaviors.