transformer-explainer: an interactive browser-based visualization for learning the internal operations of GPT-2

What it solves

Transformer Explainer is an interactive visualization tool that simplifies the complex internal workings of Transformer-based models like GPT. It removes the barrier to understanding how these models predict the next token by making the mathematical operations and data flow visible and interactive.

How it works

The tool runs a live GPT-2 model directly in the web browser. Users can input their own text and observe in real-time how the internal components and operations of the Transformer architecture are processed to generate a prediction.

Who it’s for

Anyone interested in learning how text-generative AI models work, from students to non-experts who want a visual and experimental approach to understanding LLM architecture.

Highlights

• own text experimentation: Users can provide their own input to see the model's internal state.
• Browser-based: Runs a live GPT-2 model without requiring external servers.
• Interactive visualization: Provides a real-time view of the internal operations of the Transformer.