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Mechanistic interpretability aims to understand the inner workings of large neural networks by identifying circuits, or minimal subgraphs within the model that implement algorithms responsible for performing specific tasks. These circuits are typical
Externí odkaz:
http://arxiv.org/abs/2411.16105
