Are there any tools for seeing / understanding what a fine-tuned BERT model is looking at for a downstream task?

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  • bertviz

    BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  • From what I can tell, BertViz is one such visualization tool, but (1) I'm not sure what reading those outputs adds (maybe "this article is about cats" has a strong connection to the [CLS] token used for classification, and the rest of the document has less attention paid to it?); (2) it looks like it's only for pretrained models, not fine-tuned ones.

  • lit

    The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface. (by PAIR-code)

  • Use LIT https://github.com/PAIR-code/lit

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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