  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.
