How do you set up an attention visualization tool in code to interpret and debug transformer model outputs

Question

Can you set up attention visualization tool in code to interpret and debug transformer model outputs?

Answer 1

You can set up an attention visualization tool in code to interpret and debug transformer model outputs by referring to a short example below using PyTorch and Matplotlib to visualize attention weights from a transformer model like BERT:

The code above plots the attention map for Layer 1, Head 1. You can iterate through layers/heads for deeper analysis.

Hence, by referring to the above, you can set up an attention visualization tool in code to interpret and debug transformer model outputs.