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About this paper
Erick F. Merino M.
Frankenstein Transformer provides a shared, validated configuration for training, deployment, and inference across 45 sequence mixers in nine families. The authors use it to run model comparisons. Across tested pairs, mean final loss ranged 0.81 nats across second mixers versus 0.55 across first, but fixed ordering confounds layer position, making this descriptive rather than causal.
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