Per-neuron cumulative mean activations of the first 100 MLPs of
aicrowd/arc-whestbench-public-2026
captured at 860 log-spaced sample budgets from
N=1 to N=1,000,000,000.
This is a research sidecar to v1-warmup. It demonstrates how Monte Carlo mean
estimates of the activations converge as the sample budget grows.
This is trajectory B — an independent peer of
aicrowd/arc-whestbench-convergence-2026
(trajectory A). Same 100 MLPs… See the full description on the dataset page:
https://huggingface.co/datasets/aicrowd/arc-whestbench-convergence-2026-traj-b.