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.Demo Video available at: https://youtu.be/mLhs2YMx4u8- Anthology ID:
- 2023.acl-demo.21
- Volume:
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Danushka Bollegala, Ruihong Huang, Alan Ritter
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 226–234
- Language:
- URL:
- https://aclanthology.org/2023.acl-demo.21
- DOI:
- 10.18653/v1/2023.acl-demo.21
- Cite (ACL):
- Fahim Dalvi, Hassan Sajjad, and Nadir Durrani. 2023. NeuroX Library for Neuron Analysis of Deep NLP Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 226–234, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- NeuroX Library for Neuron Analysis of Deep NLP Models (Dalvi et al., ACL 2023)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2023.acl-demo.21.pdf