srt-depth-probe-artifacts / l60_fitted_readout.json
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depth-probe artifacts: probe-dependent layer ranking, scaling curves, SugarCrepe fitted re-test, banked null
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{
"question": "is the L60 collapse lost information or a readout that lost reach",
"method": "PCA-128 per modality on train images, ridge map image->caption",
"test_note": "held-out images, same splits and metric as the head-free sweep",
"results": {
"L4": {
"raw_macro": 0.5266,
"fitted_macro": 0.5071,
"raw": {
"add_att": 0.5915,
"add_obj": 0.5767,
"replace_att": 0.5575,
"replace_obj": 0.521,
"replace_rel": 0.4992,
"swap_att": 0.5236,
"swap_obj": 0.4167
},
"fitted": {
"add_att": 0.5246,
"add_obj": 0.5093,
"replace_att": 0.4808,
"replace_obj": 0.4775,
"replace_rel": 0.4975,
"swap_att": 0.5079,
"swap_obj": 0.5521
}
},
"L12": {
"raw_macro": 0.5153,
"fitted_macro": 0.5016,
"raw": {
"add_att": 0.5528,
"add_obj": 0.5593,
"replace_att": 0.528,
"replace_obj": 0.5341,
"replace_rel": 0.4877,
"swap_att": 0.4764,
"swap_obj": 0.4688
},
"fitted": {
"add_att": 0.507,
"add_obj": 0.5419,
"replace_att": 0.5192,
"replace_obj": 0.508,
"replace_rel": 0.5237,
"swap_att": 0.4843,
"swap_obj": 0.4271
}
},
"L20": {
"raw_macro": 0.5486,
"fitted_macro": 0.5008,
"raw": {
"add_att": 0.507,
"add_obj": 0.6209,
"replace_att": 0.5457,
"replace_obj": 0.5893,
"replace_rel": 0.6007,
"swap_att": 0.5394,
"swap_obj": 0.4375
},
"fitted": {
"add_att": 0.4789,
"add_obj": 0.564,
"replace_att": 0.4926,
"replace_obj": 0.5196,
"replace_rel": 0.5548,
"swap_att": 0.5,
"swap_obj": 0.3958
}
},
"L28": {
"raw_macro": 0.5365,
"fitted_macro": 0.5301,
"raw": {
"add_att": 0.5,
"add_obj": 0.564,
"replace_att": 0.5546,
"replace_obj": 0.537,
"replace_rel": 0.5777,
"swap_att": 0.5118,
"swap_obj": 0.5104
},
"fitted": {
"add_att": 0.5704,
"add_obj": 0.5663,
"replace_att": 0.5398,
"replace_obj": 0.4862,
"replace_rel": 0.5336,
"swap_att": 0.5039,
"swap_obj": 0.5104
}
},
"L36": {
"raw_macro": 0.5366,
"fitted_macro": 0.5389,
"raw": {
"add_att": 0.4472,
"add_obj": 0.5826,
"replace_att": 0.5251,
"replace_obj": 0.5733,
"replace_rel": 0.6072,
"swap_att": 0.4685,
"swap_obj": 0.5521
},
"fitted": {
"add_att": 0.5282,
"add_obj": 0.593,
"replace_att": 0.5192,
"replace_obj": 0.5065,
"replace_rel": 0.5745,
"swap_att": 0.5197,
"swap_obj": 0.5312
}
},
"L44": {
"raw_macro": 0.5589,
"fitted_macro": 0.5267,
"raw": {
"add_att": 0.5141,
"add_obj": 0.5488,
"replace_att": 0.5693,
"replace_obj": 0.6386,
"replace_rel": 0.6007,
"swap_att": 0.5512,
"swap_obj": 0.4896
},
"fitted": {
"add_att": 0.5176,
"add_obj": 0.5116,
"replace_att": 0.5575,
"replace_obj": 0.5443,
"replace_rel": 0.5532,
"swap_att": 0.4921,
"swap_obj": 0.5104
}
},
"L47": {
"raw_macro": 0.5655,
"fitted_macro": 0.5222,
"raw": {
"add_att": 0.5246,
"add_obj": 0.5581,
"replace_att": 0.5782,
"replace_obj": 0.6386,
"replace_rel": 0.6039,
"swap_att": 0.5551,
"swap_obj": 0.5
},
"fitted": {
"add_att": 0.507,
"add_obj": 0.5186,
"replace_att": 0.5398,
"replace_obj": 0.5457,
"replace_rel": 0.5614,
"swap_att": 0.4724,
"swap_obj": 0.5104
}
},
"L54": {
"raw_macro": 0.5841,
"fitted_macro": 0.5309,
"raw": {
"add_att": 0.5915,
"add_obj": 0.5477,
"replace_att": 0.6077,
"replace_obj": 0.6865,
"replace_rel": 0.6072,
"swap_att": 0.5276,
"swap_obj": 0.5208
},
"fitted": {
"add_att": 0.5352,
"add_obj": 0.5163,
"replace_att": 0.5398,
"replace_obj": 0.5922,
"replace_rel": 0.5565,
"swap_att": 0.4764,
"swap_obj": 0.5
}
},
"L60": {
"raw_macro": 0.51,
"fitted_macro": 0.5094,
"raw": {
"add_att": 0.493,
"add_obj": 0.4593,
"replace_att": 0.5192,
"replace_obj": 0.521,
"replace_rel": 0.5041,
"swap_att": 0.563,
"swap_obj": 0.5104
},
"fitted": {
"add_att": 0.507,
"add_obj": 0.5163,
"replace_att": 0.4926,
"replace_obj": 0.4761,
"replace_rel": 0.5057,
"swap_att": 0.5157,
"swap_obj": 0.5521
}
}
},
"verdict": "INCONCLUSIVE: the fitted arm fails its own control",
"control": {
"requirement": "the fitted readout must at least match head-free centred cosine at L47",
"l47_head_free": 0.5655,
"l47_fitted_by_K": {
"32": 0.496,
"64": 0.5108,
"128": 0.5222,
"256": 0.5318,
"512": 0.5391
},
"note": "best ridge per K was chosen on the test split, so even these are generous, and every one of them still loses to the un-fitted arm. 936 training images is too few to fit a cross-modal map at 5376 dims, so this cannot decide discarded against re-based at L60."
},
"n_train_images": 936,
"n_images": 1560
}