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Interpreting Language Model Parameters

Bushnaq, Lucius et al.
arXiv (All) · Papers
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machine-learning
Mechanistic interpretability aims to uncover how neural networks use their parameters to implement their impressive neural algorithms. Although previous work has uncovered substantial structure in the intermediate representations that networks use, little progress has been made to understand how the
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