specific method · filed under model architecture
Top-k expert routing with softmax over selected experts
Selects the top-k experts per token and weights their outputs using softmax over only the selected experts.
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How sources treat it
One count per evidence span, weakest treatment to strongest.
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Evidence
1 span quoted from the sources, strongest treatment first.
For both models, we select the top- experts for each token given by the router, and weight the output of each expert by the softmax of the router projection over only the selected experts.
coremodel architecturein gpt-oss-120b and gpt-oss-20bOpenAI
Filed alongside
Other methods under model architecture :: channel mixer :: mixture of experts :: expert routing.
Top-8 expert routingToken-level expert routingAnticipatory RoutingTop-4 expert routingDP-aware routingFixed Top-k routing with frozen biasHash routingKeep RoutingLatent-space routingLoss-spike-triggered Anticipatory RoutingRouted expertsToken-choice routingToken-choice routing with softplus gatingTop-6 expert routing