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TransformerLens Alternatives
Similar projects and alternatives to TransformerLens
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TransformerLens reviews and mentions
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Intermediate Activations – The Forward Hook
For those interested in playing with or doing research using model internals, the TransformerLens [1] project appears to be the leading open-source tooling in this area. It allows for loading dozens of different models, adding hooks, displaying activations in a format compatible with CircuitsVis, and other (mechanistic) interpretability work.
[1] https://github.com/neelnanda-io/TransformerLens
[2] https://github.com/alan-cooney/CircuitsVis
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I made an open-source Python package, TorchLens, that can visualize the structure of any PyTorch model and extract any intermediate activations you want in one line of code.
Very cool! How does the functionality compare to TransformerLens?
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Show HN: Visual intuitive explanations of LLM concepts (LLM University)
Two additional ones that come to mind now are:
Transformer Feed-Forward Layers Are Key-Value Memories https://arxiv.org/abs/2012.14913
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention https://arxiv.org/abs/2202.05798
https://github.com/neelnanda-io/TransformerLens
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A note from our sponsor - SaaSHub
www.saashub.com | 1 Jun 2024
Stats
TransformerLensOrg/TransformerLens is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of TransformerLens is Python.
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