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endian, concatenated by field, each mode-major then neuron-major: scores float32 [4,N,4]; examples uint16 [4,N,8]; values float32 [4,N,8]; upstream uint16 [4,N,8]; correlations float32 [4,N,8]. Missing upstream index = 65535. First 4 examples from all evaluation images; last 4 from car family only.","timelineBinary":"float32 little endian [checkpoint,mode,neuron,target].","sample":{"evaluation":4210,"car":250,"ambulance":25,"cab":25,"otherRoad":44},"sampling":"Frozen disjoint evaluation half of the existing probe; all 250 car images plus four images per other ImageNet class. Images are the exact center crops used in inference. Scores and correlations use only evaluation images; examples are ranked on that same evaluation set.","identity":"Literal neuron indices are fixed through training within a run. Neither semantic identity through time nor neuron alignment across independent runs is assumed.","associations":"Eight strongest absolute Pearson correlations to strictly earlier blocks, computed across all 4,210 evaluation images with the same pooling and sign. Correlation can reflect class, color, background or common inputs. It is not a synapse, mediation estimate or causal connection. Car images are oversampled in this probe.","scores":"Car: ten car classes vs all other sampled ImageNet classes. Ambulance/cab: one subtype vs the other nine car classes. Road: car family vs eleven other road-vehicle classes. AUROC 0.5 is chance ordering; 1 is perfect positive ranking, 0 is perfect inverse ranking. Rankings have only 25 positives for each subtype and 44 other-road negatives.","selection":"The map contains every native SwiGLU product in every block; no selectivity threshold or final winner filter. Named starting points reuse discovery-selected final coordinates from the previous report. Exploring many evaluation scores can overfit the evaluation set; this is an exploratory atlas, not a new confirmatory test.","checkpoints":"16 measured snapshots over ten ImageNet epochs; timeline spacing is by saved checkpoint, not wall time. No interpolation or inferred birth/death events.","training":"All 1,281,167 ImageNet training images, corrected paired image/label mixup, 25,020 updates. These three fresh runs are distinct from the historical 90-epoch pilot."}