Research3h ago
New Pipeline Isolates Model Sycophancy Features
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 specific behaviors. This method improves feature disentanglement over traditional activation steering. ArXiv researchers demonstrate that precise feature isolation allows for more reliable steering of LLM behaviors.