I plan to build the following from scratch in preparation for getting into Mechanistic Interpretability Research.
- MLP (use Numpy only) for MNIST.
- Transformer from scratch (Can use PyTorch)
- PCA, SVD
- Sparse Encoder (Dictionary Learning)
- Reinforcement Learning stuff