ExplainableML/sae-for-vlm
[NeurIPS 2025] Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
91
Stars
15
Forks
29.8
Radar Score
Stable
Momentum
Scoring Breakdown
Impact25.4
Velocity24.2
Health44.6
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
29.8
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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