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https://github.com/jqhoogland/detecting-phase-transitions

Tools for detecting phase transitions in neural network training dynamics
https://github.com/jqhoogland/detecting-phase-transitions

Last synced: 10 days ago
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Tools for detecting phase transitions in neural network training dynamics

Host: GitHub
URL: https://github.com/jqhoogland/detecting-phase-transitions
Owner: jqhoogland
Created: 2023-04-14T11:16:10.000Z (almost 2 years ago)
Default Branch: main
Last Pushed: 2023-04-16T21:02:34.000Z (almost 2 years ago)
Last Synced: 2024-11-19T18:55:00.439Z (2 months ago)
Language: Jupyter Notebook
Size: 57.4 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # Detecting Phase Transitions

Tools for detecting phase transitions in neural network training dynamics. 

- [Hackathon details](https://itch.io/jam/interpretability-hackathon)

- [Notes/Brainstorming](https://www.lesswrong.com/editPost?postId=eK5HiWeopyEAXe9qF&key=06bd09c69253fe327f234a793b31e2) 

- [Report (view link only)](https://www.overleaf.com/read/fbcczpmfgzwn)

# Some Guidelines

We're going to be working across three timezones, so document your code (or have ChatGPT do it).

Don't reinvent the wheel. Let's use PyTorch (or if there's a majority vote in favor, Jax), [WandB](https://wandb.ai/), [OpenAI Evals](https://github.com/openai/evals), etc.