facebookresearch/llm-transparency-tool

Health v2 · maintenance only

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Adoption not part of the score

1254 stars · 107 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An interactive toolkit from Meta Research for analyzing the internal workings of Transformer-based language models. It visualizes contribution graphs of tokens, attention heads, and FFN neurons through a Streamlit web UI to explain model predictions.

Use cases

• inspect how a transformer LLM processes a prompt internally
• visualize token contribution graphs for model interpretability
• see which attention heads promote or suppress output tokens
• debug why an LLM made a certain prediction
• analyze FFN neuron activations in a language model
• research tool for mechanistic interpretability of transformers

When to choose

• you need interactive, visual interpretability analysis of a TransformerLens-supported model
• you're doing research on how LLMs make predictions
• you want to inspect attention heads and FFN contributions per token

When to avoid

• you need production LLM serving or inference at scale
• your model isn't supported by TransformerLens and you can't implement a custom TransparentLlm wrapper
• you need automated interpretability pipelines rather than interactive exploration

Facets

application · maturity active

machine-learning llm-inference data-visualization developer-tools large-language-models machine-learning deep-learning data-visualization python cross-platform interpretability transformer-lens streamlit attention-analysis contribution-graph explainability research-tool research docker web-server

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markdown · JSON · MCP: product_card(name="facebookresearch/llm-transparency-tool")