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Attention Rollout -- RoBERTa

In this demo, we use the RoBERTa language model (optimized for masked language modelling and finetuned for sentiment analysis). The model predicts for a given sentences whether it expresses a positive, negative or neutral sentiment. But how does it arrive at its classification? This is, surprisingly perhaps, very difficult to determine.

Abnar & Zuidema (2020) proposed a method for Transformers called "Attention Rollout", which was further refined by Chefer et al. (2021) into Gradient-weighted Rollout. Here we compare it to another popular method called Integrated Gradients.