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 behavior. This approach improves feature disentanglement over traditional activation steering. It provides a more precise mechanism for steering models away from user-pleasing biases.