Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable. Inspired by brains, BIMT embeds neurons in a geometric space and augments the loss function with a cost proportional to the length of each neuron connection. This is inspired by t...

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Bibliographic Details
Main Authors:	Liu, Ziming, Gan, Eric, Tegmark, Max
Format:	Article
Published:	Multidisciplinary Digital Publishing Institute 2024
Online Access:	https://hdl.handle.net/1721.1/153423

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