wh(@nrehiew_):Ngram module (figure from DeepSeek's Engram) They first ablate at which layer to put it but couldnt find a clear winner. As such they just put one at layer 2 which allows it to be prefetched from CPU together with layer 1 computation From the figures in this section, this seems to be the biggest area where loss is not a good signal on its own. Downstream loss goes down as the vocab size increases, but same isnt true for evals

2026.08.27 02:50

Ngram module (figure from DeepSeek's Engram) They first ablate at which layer to put it but couldnt find a clear winner. As such they just put one at layer 2 which allows it to be prefetched from CPU together with layer 1 computation From the figures in this section, this seems to be the biggest area where loss is not a good signal on its own. Downstream loss goes down as the vocab size increases, but same isnt true for evals

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