Safety9h ago
Safety
Applying Genealogical Regularity To AI Interpretability
The Genealogical Regularity suggests that entities evolving from previous versions with mutations share structural properties. By applying this comparative method to AI, researchers can identify regularities that bypass computational intractability. This approach helps Minna Sundberg and others map how model behaviors evolve across versions. It offers a framework for tracking structural shifts in model weights.