poloclub/transformer-explainer
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
About the project
Interactive visualization of how Transformer models work: runs a live GPT-2 in the browser and shows how internal components predict the next tokens.
Useful for
- Learn how a Transformer works using a live GPT-2 in the browser
- Test with your own text how the model predicts the next tokens
- Walk through attention and other internal components step by step
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 9 stars so far today, about 28 expected by the end of the day. The usual pace is 7 per day, so that's 4.2× as much.
- Over the last two days the pace is 10× that of the previous week and a half.
- The spike has held for 3 days in a row — not a one-off blip.
- GitHub Trending JavaScript today: #5, +54 stars.
- Hacker News: “Transformers Explained Visually” — 616 points, 1 day ago.
- Recent forks include notable developers: @millette (309 followers).
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 8,719
- Today
- 9 · ≈ 28 by evening
- Forks
- 983
- Issues and pull requests
- 87
- Watchers
- 73
- Language
- JavaScript
- License
- MIT
- Latest release
- v0.0.1 · June 11, 2024
- Created
- May 16, 2024
- Last push
- June 6, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Hacker News discussions
- Transformers Explained Visually616 points, September 21, 2026
Spotted in
- September 23, 2026GitHub Trending JavaScript today: #5, +54 stars
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README badge
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