Gradient‑Routed Modules Let One Model Toggle Dangerous Knowledge
Researchers introduce Gradient‑Routed Auxiliary Modules (GRAM), which isolate risky knowledge in dedicated model components that can be switched on or off. A single model trained with GRAM can imitate multiple versions filtered for different dangerous data, cutting training costs while preserving performance on permitted tasks.