Read the History, Not Just the Code

Ptidej Team Blog · 4 weeks ago · 43

The article argues that understanding why language models work requires studying the training process rather than only analyzing a finished model. The key example is that image-classifier category-specific neurons were targeted during training and the model got better. It changes the focus for interpretability and debugging by treating training traces like version history and using randomness across runs as evidence rather than noise.