REPOGEO REPORT · LITE

facebookresearch/llm-transparency-tool

Default branch main · commit f1340f07 · scanned 6/22/2026, 11:12:52 PM

GitHub: 1,254 stars · 108 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface facebookresearch/llm-transparency-tool, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

hightopics#1

Add specific topics to the repository

Why:

COPY-PASTE FIX

llm-interpretability, transformer-models, nlp, deep-learning, model-analysis, attention-mechanisms, explainable-ai, xai

highreadme#2

Reposition the README's opening to clearly state the tool's purpose

Why:

CURRENT

<h1>
  
</h1>

## Key functionality

COPY-PASTE FIX

# LLM Transparency Tool (LLM-TT)

The LLM Transparency Tool (LLM-TT) is an open-source interactive toolkit designed for deep analysis of the internal workings of Transformer-based language models. It provides researchers and developers with a visual interface to explore attention head contributions, FFN neuron activations, and token representations, making opaque LLM decisions transparent.

## Key functionality

mediumhomepage#3
Add the demo link to the repository's homepage field
Why:
COPY-PASTE FIX
```
https://huggingface.co/spaces/facebook/llm-transparency-tool-demo
```

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface facebookresearch/llm-transparency-tool

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

TensorBoard

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

TensorBoard · recommended 2×
Captum · recommended 2×
InterpretML · recommended 1×
LlamaIndex · recommended 1×
LangChain · recommended 1×

CATEGORY QUERY
How can I visualize and debug the internal decision-making process of large language models?
you: not recommended
AI recommended (in order):
1. InterpretML
2. LlamaIndex
3. LangChain
4. LangSmith
5. OpenAI Playground
6. TensorBoard
7. Ecco
8. Captum
AI recommended 8 alternatives but never named facebookresearch/llm-transparency-tool. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help analyze attention head contributions and FFN neuron activations in LLMs?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers Library
2. PyTorch
3. TensorFlow
4. Captum
5. TransformerLens
6. Neuroscope
7. Streamlit
8. Dash
9. TensorBoard
10. torch.utils.tensorboard
11. LIME (Local Interpretable Model-agnostic Explanations)
12. SHAP (SHapley Additive exPlanations)
AI recommended 12 alternatives but never named facebookresearch/llm-transparency-tool. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of facebookresearch/llm-transparency-tool?
pass
AI named facebookresearch/llm-transparency-tool explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts facebookresearch/llm-transparency-tool in production, what risks or prerequisites should they evaluate first?
pass
AI named facebookresearch/llm-transparency-tool explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo facebookresearch/llm-transparency-tool solve, and who is the primary audience?
pass
AI named facebookresearch/llm-transparency-tool explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of facebookresearch/llm-transparency-tool. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/facebookresearch/llm-transparency-tool.svg)](https://repogeo.com/en/r/facebookresearch/llm-transparency-tool)

HTML

<a href="https://repogeo.com/en/r/facebookresearch/llm-transparency-tool"><img src="https://repogeo.com/badge/facebookresearch/llm-transparency-tool.svg" alt="RepoGEO" /></a>

Pro

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facebookresearch/llm-transparency-tool — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite