PhD student at MIT
grokking-squared. Jupyter Notebook
28neural-verification. MI and Formal Verification of NNs on Algorithmic tasks!
18feature-geometry. Code for "The Geometry of Concepts: Sparse Autoencoder Feature Structure"
17precision-ml. Jupyter Notebook
13quantization-model. Cleaned up code for reproducing our paper "The Quantization Model of Neural Scaling"
9llm-curve-visualization. Jupyter Notebook
6torch-foresight. 🧠:mag: Tools for characterizing and predicting the dynamics of neural nets built with PyTorch
5elephant. Augment your memory from the console! :mortar_board: :muscle:
4narrow. Turning general models into narrow ones
3grabby-aliens. Simulations for Robin Hanson's mathematical model of aggressive alien expansion
3feature-circuits-clusters. Python
2meerkat-backend-interface. Breakthrough Listen's interface to MeerKAT :telescope: :alien:
2feature-manifold-interface. Dashboard for attempting to discover more LLM feature manifolds
2structured-sae. Jupyter Notebook
1the-everything-machine. Experiments for neural scaling on discrete data
1Image_Scanner. A system for scanning images for objects using a multi-layer convolutional neural network.
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