ml-operations / app
Transformer Explainer
Capability: Transformer Explainer
Use it when
- You are teaching or learning how GPT-style transformers turn text into next-token predictions and static architecture diagrams are not clicking
- You want to probe attention and prediction behavior on your own example text without setting up a Python interpretability stack
What it solves
Not the fit when
- Inspecting models other than the bundled in-browser GPT-2
- Research-grade interpretability experiments or activation patching
- Serving or benchmarking LLMs
- production model serving
- interpretability analysis of your own custom model checkpoints
- training or fine-tuning models
Install
git clone https://github.com/poloclub/transformer-explainer.git && cd transformer-explainer && npm install && npm run dev (requires Node.js v20+ and NPM v10+), or use the hosted demo with no install
Invoke
Open http://localhost:5173 (or https://poloclub.github.io/transformer-explainer), enter your own text, and observe in real time how the in-browser GPT-2 model's internal components produce next-token predictions
Alternatives
No reviewed alternatives recorded yet.