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mini-lab
prelude-2

Features of prelude-2

Inside the model, every token is a list of numbers that mix many things at once. A sparse autoencoder, trained on the residual stream after block 4, splits it into 4,096 directions, few of them active at a time: each one tends to mean one thing, like “the last digit of a number” or “a story begins”. Shaded tokens show where a feature fires.

Features
4,096
Loss recovered
98.9%
Variance unexplained
7.3%
Model loss, with the features
2.565 → 2.631

4,096 features.