Explainer derives transformer memory capacity from linear layers to attention
Read original source →alexwang.ai
Blog post frames linear maps, MLPs, and self-attention as memory stores, using an interference-to-signal ratio to estimate capacity. With 64-dimensional keys, capacity jumps from about 64 memories to 2,700 to over a million.
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