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TeaLeaves
Python

TeaLeaves

End-to-end pipeline for seeing how LLMs actually process your prompts. Capture attention across every layer, render heatmaps and cooking curves, compare variants with evidence — not vibes.

by taylorsatula · GitHub
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ai-safetyattentionattention-mechanismPython
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Visualize how AI models understand your prompts and see if changes improve their responses with heatmaps and comparisons.

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2026-07-202026-08-31
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End-to-end pipeline for seeing how LLMs actually process your prompts. Capture attention across every layer, render heatmaps and cooking curves, compare variants with evidence — not vibes.

TeaLeaves has 42 stars on GitHub. It has been forked 4 times. TeaLeaves is written mainly in Python. It has been in active development since 2026. Its main topics are ai-safety, attention, attention-mechanism, data-visualization.

Frequently asked questions

What is TeaLeaves?

End-to-end pipeline for seeing how LLMs actually process your prompts. Capture attention across every layer, render heatmaps and cooking curves, compare variants with evidence — not vibes.

Is TeaLeaves open source?

TeaLeaves is an open-source project.

Is TeaLeaves free?

Yes. TeaLeaves is free and open source — you can use, modify and self-host it.

What language is TeaLeaves written in?

TeaLeaves is written mainly in Python.

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