RRepoGEO

REPOGEO REPORT · LITE

EleutherAI/sparsify

Default branch main · commit 234a65a7 · scanned 5/30/2026, 11:52:21 AM

GitHub: 722 stars · 101 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 EleutherAI/sparsify, 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 improve categorization

    Why:

    COPY-PASTE FIX
    ["sparse-autoencoders", "sae", "transformers", "llm", "model-sparsity", "topk-activation", "deep-learning", "eleutherai"]
  • highreadme#2
    Reposition the README introduction to highlight specialized purpose

    Why:

    CURRENT
    ## Introduction
This library trains _k_-sparse autoencoders (SAEs) and transcoders on the activations of HuggingFace language models, roughly following the recipe detailed in Scaling and evaluating sparse autoencoders (Gao et al. 2024).
    COPY-PASTE FIX
    ## Introduction
Sparsify is a specialized Python library for training _k_-sparse autoencoders (SAEs) and transcoders, designed to reduce activation density in large transformer language models. It implements the recipe detailed in Scaling and evaluating sparse autoencoders (Gao et al. 2024).
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://eleuther.ai/ (or link to project-specific documentation if available)

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 EleutherAI/sparsify
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. TensorFlow/Keras · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. JAX/Flax · recommended 1×
  5. PyTorch Lightning · recommended 1×
  • CATEGORY QUERY
    How can I apply sparse autoencoders to reduce transformer model activation density?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow/Keras
    3. Hugging Face Transformers
    4. JAX/Flax
    5. PyTorch Lightning
    6. DeepSpeed/FairScale

    AI recommended 6 alternatives but never named EleutherAI/sparsify. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for achieving model sparsity using TopK activation instead of L1 penalty?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. JAX
    5. DeepSpeed
    6. ONNX Runtime

    AI recommended 6 alternatives but never named EleutherAI/sparsify. 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 EleutherAI/sparsify?
    pass
    AI named EleutherAI/sparsify explicitly

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

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

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

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MARKDOWN (README)
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EleutherAI/sparsify — 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