Research3h ago
New Pipeline Isolates Model Sycophancy Features
An iterative data generation pipeline now isolates cascading linear features to detect and control model sycophancy. By moving beyond binary sample pairs, the method identifies features that scale linearly with specific behaviors. This approach improves feature disentanglement for activation steering. Researchers can now more precisely steer LLMs away from agreeable but incorrect responses.