TL
AlignmentResearch/tuned-lens
Tools for understanding how transformer predictions are built layer-by-layer
582 65 +0/wk
GitHub
machine-learning pytorch transformers
Trend
3
Star & Fork Trend (39 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
AlignmentResearch/tuned-lens has +0 stars this period . 7-day velocity: 0.2%.
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Signal-backed technical analysis will be available soon.
| Metric | tuned-lens | pytorch-blender | 300Days__MachineLearningDeepLearning | Intrusion-Detection-System-Using-Machine-Learning |
|---|---|---|---|---|
| Stars | 582 | 582 | 583 | 581 |
| Forks | 65 | 44 | 170 | 159 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | N/A | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs pytorch-blender
tuned-lens
pytorch-blender
Maintenance Activity 0
Last code push 244 days ago.
Community Engagement 56
Fork-to-star ratio: 11.2%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.