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cs.LG2024★ 2 cited
Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability
Jatin Nainani, Sankaran Vaidyanathan, AJ Yeung +2
Mechanistic interpretability aims to understand the inner workings of large neural networks by identifying circuits, or minimal subgraphs within the model that implement algorithms…
cs.LG2024
Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretability
Jatin Nainani
Large Language Models (LLMs) have experienced a rapid rise in AI, changing a wide range of applications with their advanced capabilities. As these models become increasingly integr…