This is a useful teaching lens for transformer behavior, especially for copy heavy outputs and mixed cues from earlier phrases. The tradeoff is that readability comes from compressing a lot of model structure into a single score, so interpretation needs a bit more guidance than the visuals alone provide.
LLM Attention Visualization
Interactive visualization of the attention mechanism in transformer-based large language models.
2 ratings4.49
Saves177
CategoryDeveloper Tools
PlatformWeb
PricingFree
Screenshots haven’t been added yet. Visit the product to take a look.
LLM Attention Visualization is a React-based web app that illustrates how transformer LLMs selectively attend to previous tokens during generation. It shows attention weights and highlights influential tokens interactively, offering insights into model behavior. The app uses a custom instrumented ONNX model running in-browser with Transformers.js for generation and attention data extraction.
Ratings & Reviews
Write a reviewInformation
CategoryDeveloper Tools
PlatformsWeb
PricingFree
AccountSign-in detected
ListedSeptember 2026
WebVisit
Report a problem
Website checks
Mobile PageSpeed
Automated checks of the public website by Google Lighthouse 13.5.0. Scores can vary between runs.
Checked Oct 22, 2026
Test this website on PageSpeedWebsite checks refresh automatically each week.
- Performance
- 95 out of 100, Good
- Accessibility
- 92 out of 100, Good
- Best Practices
- 96 out of 100, Good
- SEO
- 100 out of 100, Good
Around the Web
Show HN177 source points · 0 comments