srt-depth-probe-artifacts / depth_fitted_profile.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": "shipped head recipe: two 1024-d towers, InfoNCE, fitted per layer",
"control": "a fitted head at L47 must clearly beat head-free, or the instrument is invalid",
"n_images": 5000,
"n_train": 4000,
"n_holdout": 1000,
"backbone": "google/gemma-4-31B-it",
"results": {
"L4": {
"head_free": {
"r@1": 0.013000000268220901,
"r@10": 0.0560000017285347,
"median_rank": 269.0,
"r@1_vs_chance": 13
},
"fitted_head": {
"r@1": 0.08000000566244125,
"r@10": 0.3620000183582306,
"median_rank": 21.0,
"r@1_vs_chance": 80
}
},
"L12": {
"head_free": {
"r@1": 0.04700000211596489,
"r@10": 0.21900001168251038,
"median_rank": 116.0,
"r@1_vs_chance": 47
},
"fitted_head": {
"r@1": 0.17500001192092896,
"r@10": 0.5640000104904175,
"median_rank": 8.0,
"r@1_vs_chance": 175
}
},
"L20": {
"head_free": {
"r@1": 0.10000000149011612,
"r@10": 0.3070000112056732,
"median_rank": 76.0,
"r@1_vs_chance": 100
},
"fitted_head": {
"r@1": 0.2930000126361847,
"r@10": 0.6810000538825989,
"median_rank": 4.0,
"r@1_vs_chance": 293
}
},
"L28": {
"head_free": {
"r@1": 0.015000000596046448,
"r@10": 0.055000003427267075,
"median_rank": 329.0,
"r@1_vs_chance": 15
},
"fitted_head": {
"r@1": 0.1720000058412552,
"r@10": 0.527999997138977,
"median_rank": 9.0,
"r@1_vs_chance": 172
}
},
"L36": {
"head_free": {
"r@1": 0.06800000369548798,
"r@10": 0.20500001311302185,
"median_rank": 127.0,
"r@1_vs_chance": 68
},
"fitted_head": {
"r@1": 0.24000000953674316,
"r@10": 0.6320000290870667,
"median_rank": 5.0,
"r@1_vs_chance": 240
}
},
"L44": {
"head_free": {
"r@1": 0.13700000941753387,
"r@10": 0.3920000195503235,
"median_rank": 24.0,
"r@1_vs_chance": 137
},
"fitted_head": {
"r@1": 0.2540000081062317,
"r@10": 0.6550000309944153,
"median_rank": 5.0,
"r@1_vs_chance": 254
}
},
"L47": {
"head_free": {
"r@1": 0.16700001060962677,
"r@10": 0.4190000295639038,
"median_rank": 20.0,
"r@1_vs_chance": 167
},
"fitted_head": {
"r@1": 0.23000000417232513,
"r@10": 0.6350000500679016,
"median_rank": 5.0,
"r@1_vs_chance": 230
}
},
"L54": {
"head_free": {
"r@1": 0.1600000113248825,
"r@10": 0.5570000410079956,
"median_rank": 8.0,
"r@1_vs_chance": 160
},
"fitted_head": {
"r@1": 0.19300000369548798,
"r@10": 0.5800000429153442,
"median_rank": 7.0,
"r@1_vs_chance": 193
}
},
"L60": {
"head_free": {
"r@1": 0.003000000026077032,
"r@10": 0.03700000047683716,
"median_rank": 393.0,
"r@1_vs_chance": 3
},
"fitted_head": {
"r@1": 0.1080000028014183,
"r@10": 0.41700002551078796,
"median_rank": 16.0,
"r@1_vs_chance": 108
}
}
},
"chance_r@1": 0.001,
"chance_median_rank": 500.0
}