LSTM Vis

Understand RNN through visualization. Three types of users:

• Architect: new deep learning methodologies
• Trainers: apply architectures to domain
• End users: use general purpose pretrained models (XAI)

Use cases:

• Generate an hypothesis about properties of hidden states
• Refine hypothesis
• Compare models and datasets
• Visualize hidden states / filter hidden states
• Match selections to similar examples
• Align textual annotations + interface

This tool also gives per-token insight into the hidden states of the model.