Abstract
Neuron analysis provides insights into how knowledge is structured in representations and discovers the role of neurons in the network. In addition to developing an understanding of our models, neuron analysis enables various applications such as debiasing, domain adaptation and architectural search. We present NeuroX, a comprehensive open-source toolkit to conduct neuron analysis of natural language processing models. It implements various interpretation methods under a unified API, and provides a framework for data processing and evaluation, thus making it easier for researchers and practitioners to perform neuron analysis. The Python toolkit is available at https://www.github.com/fdalvi/NeuroX.1.
Cite
CITATION STYLE
Dalvi, F., Sajjad, H., & Durrani, N. (2023). NeuroX library for neuron analysis of deep NLP models. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 3, pp. 226–234). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.acl-demo.21
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