RRepoGEO

REPOGEO REPORT · LITE

TransformerLensOrg/TransformerLens

Default branch main · commit 5f7b02e8 · scanned 5/13/2026, 5:22:18 PM

GitHub: 3,413 stars · 566 forks

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 TransformerLensOrg/TransformerLens, 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
    mechanistic-interpretability, transformer-models, language-models, gpt-models, deep-learning, pytorch, ai-interpretability
  • mediumreadme#2
    Strengthen the README's opening statement to highlight unique value

    Why:

    CURRENT
    A Library for Mechanistic Interpretability of Generative Language Models. Maintained by Bryce Meyer and created by Neel Nanda
    COPY-PASTE FIX
    TransformerLens is the leading library for **mechanistic interpretability** of **GPT-style language models**, enabling researchers to reverse-engineer the algorithms models learn during training. It provides fine-grained access and intervention into internal activations, setting it apart from general interpretability tools.
  • mediumabout#3
    Expand the repository's "About" description

    Why:

    CURRENT
    A library for mechanistic interpretability of GPT-style language models
    COPY-PASTE FIX
    The leading library for mechanistic interpretability of GPT-style language models. It provides researchers with fine-grained access and intervention capabilities to reverse-engineer the algorithms learned by models during training.

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 TransformerLensOrg/TransformerLens
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Captum
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Captum · recommended 2×
  2. LIME · recommended 2×
  3. SHAP · recommended 2×
  4. Ecco · recommended 2×
  5. Transformers Interpret · recommended 2×
  • CATEGORY QUERY
    Need a Python library to explore internal states of transformer-based LMs.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Captum
    3. LIME
    4. SHAP
    5. Ecco
    6. Transformers Interpret

    AI recommended 6 alternatives but never named TransformerLensOrg/TransformerLens. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which Python tools help visualize and modify transformer model's hidden layers?
    you: not recommended
    AI recommended (in order):
    1. Captum
    2. Transformers Interpret
    3. LIME
    4. SHAP
    5. NeuroX
    6. Ecco
    7. TensorBoard

    AI recommended 7 alternatives but never named TransformerLensOrg/TransformerLens. 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 TransformerLensOrg/TransformerLens?
    pass
    AI named TransformerLensOrg/TransformerLens explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts TransformerLensOrg/TransformerLens in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TransformerLensOrg/TransformerLens 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 TransformerLensOrg/TransformerLens solve, and who is the primary audience?
    pass
    AI named TransformerLensOrg/TransformerLens explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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TransformerLensOrg/TransformerLens — 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