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- W4386437578 abstract "Despite recent advances in the field of explainability, much remains unknown about the algorithms that neural networks learn to represent. Recent work has attempted to understand trained models by decomposing them into functional circuits (Csord'as et al., 2020; Lepori et al., 2023). To advance this research, we developed NeuroSurgeon, a python library that can be used to discover and manipulate subnetworks within models in the Huggingface Transformers library (Wolf et al., 2019). NeuroSurgeon is freely available at https://github.com/mlepori1/NeuroSurgeon." @default.
- W4386437578 created "2023-09-06" @default.
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- W4386437578 date "2023-09-01" @default.
- W4386437578 modified "2023-10-01" @default.
- W4386437578 title "NeuroSurgeon: A Toolkit for Subnetwork Analysis" @default.
- W4386437578 doi "https://doi.org/10.48550/arxiv.2309.00244" @default.
- W4386437578 hasPublicationYear "2023" @default.
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