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        0.011971825733780861,
        -0.09078222513198853,
        0.00797947309911251,
        -0.001484664506278932,
        0.03350052610039711,
        0.08738096058368683,
        0.03449726849794388,
        -0.00880923867225647,
        0.04441092163324356,
        -0.011514740064740181,
        -0.020799225196242332,
        0.02493978478014469
      ],
      "bias": 0.0025959894992411137
    }
  ],
  "image_feature_preview": [
    -0.14364385604858398,
    -0.3402451276779175,
    -1.3481405973434448
  ],
  "feature_source": "output/vit-recap-evidence.json",
  "class_names_source": "https://raw.githubusercontent.com/pytorch/hub/master/imagenet_classes.txt",
  "checkpoint_source": "https://huggingface.co/timm/vit_tiny_patch16_224.augreg_in21k_ft_in1k/tree/7d3afdd0cf93ad84d986eb2d6bcc5812ebd0b106",
  "note": "Stored checkpoint parameters; zero-based ImageNet class indices. Three rows selected and reordered for display. Class names are output labels, not text encoder inputs. Only the first three weights are printed; each dot product uses all 192."
}