Tools like BertViz let you see attention weights as heatmaps. Each cell shows how much one token attends to another.
Visualization helps debug and understand models. If your fine-tuned model makes errors, checking attention can reveal if it's focusing on wrong tokens.
Don't over-interpret attention weights though. They show what the model looks at, not necessarily why it makes predictions.