Automated Mechanistic Interpretability for Neural Networks
Mechanistic interpretability research aims to deconstruct the underlying algorithms that neural networks use to perform computations, such that we can modify their components, causing them to change behavior in predictable and positive ways. This thesis details three novel methods for automating the...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156787 |