Will Mechanistic Interpretability Scale to Superintelligence?
Introduction to Mechanistic Interpretability Mechanistic interpretability refers to the approach within artificial intelligence (AI) and machine learning (ML) that aims to elucidate the internal workings of complex models. Unlike traditional interpretability methods that may provide insight into model performance through metrics or black-box strategies, mechanistic interpretability focuses on understanding how models arrive at specific decisions […]
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