In the experiments conducted with GPT-2 medium on OpenWebText, the radio hypothesis proposed in our theoretical framework is validated by measuring activation distances in the last layer for next-token prediction
These findings provide empirical evidence on memorization patterns and loss behavior in transformer models, demonstrating how proximity or distance in the activation space influences the quality of next-element prediction
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