attentionmech/mav

Model Activity Visualiser

41
/ 100
Emerging

This tool helps researchers and AI practitioners understand how Large Language Models (LLMs) generate text. You input an LLM and a prompt, and it outputs a real-time, visual breakdown of the model's internal processes as it creates the response. It's ideal for anyone debugging LLMs or exploring their black-box behavior.

522 stars. No commits in the last 6 months.

Use this if you need to visualize the step-by-step token generation and internal states of a Large Language Model.

Not ideal if you are looking for a tool to simply deploy or interact with LLMs without needing to inspect their inner workings.

LLM-research AI-explainability NLP-debugging model-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

522

Forks

42

Language

Python

License

MIT

Last pushed

Apr 09, 2025

Commits (30d)

0

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