Kernel-Prompted Random Transformer / bench_report.json

Mechanism confirmed, baseline not beaten

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  1{
  2  "bench_version": 1,
  3  "track": "sequence",
  4  "model": "frozen_random_attention_prompt",
  5  "metric_direction": "lower is better",
  6  "n_seeds": 8,
  7  "baseline": {
  8    "best_cfg": {
  9      "lr": 0.01
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 22        "mean": 1.0726252794265747
 23      },
 24      {
 25        "cfg": {
 26          "lr": 0.01
 27        },
 28        "mean": 0.921186164021492
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 30    ],
 31    "full": {
 32      "mean": 0.9356768578290939,
 33      "std": 0.10686743285939519,
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 44      "n": 8
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 46  },
 47  "idea": {
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 60    "n": 8
 61  },
 62  "comparison": {
 63    "delta_mean": 0.8049836954682192,
 64    "idea_wins": 0,
 65    "n_pairs": 8,
 66    "per_seed_diffs": [
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 71      0.7434096559079215,
 72      0.6479298977394927,
 73      0.9807275039437631,
 74      0.6519013191350762
 75    ],
 76    "p_value": 0.0081,
 77    "mde": 0.14232114117001493,
 78    "mde_rel_pct": 15.21050135836646,
 79    "verdict": "idea worse (significant)",
 80    "system_worked": false
 81  },
 82  "mechanism_signature": {
 83    "track_choice": "sequence: multi-token temporal-window correlations require sequence attention",
 84    "best_sigma": 0.8,
 85    "idea_sweep": [
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 89          "lr": 0.001
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103          ],
104          "n": 8
105        }
106      },
107      {
108        "cfg": {
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110          "lr": 0.003
111        },
112        "result": {
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125          "n": 8
126        }
127      },
128      {
129        "cfg": {
130          "sigma": 0.8,
131          "lr": 0.01
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133        "result": {
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136          "per_seed": [
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146          "n": 8
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148      }
149    ],
150    "trained_baseline_behavior": {
151      "0": {
152        "prompt_norm": 19.529014587402344,
153        "attention_entropy": 4.115479946136475
154      },
155      "1": {
156        "prompt_norm": 15.537064552307129,
157        "attention_entropy": 4.137622833251953
158      },
159      "2": {
160        "prompt_norm": 9.14969253540039,
161        "attention_entropy": 4.145155906677246
162      },
163      "3": {
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165        "attention_entropy": 4.135089874267578
166      },
167      "4": {
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169        "attention_entropy": 4.124661445617676
170      },
171      "5": {
172        "prompt_norm": 11.53364086151123,
173        "attention_entropy": 4.150853157043457
174      },
175      "6": {
176        "prompt_norm": 18.757871627807617,
177        "attention_entropy": 4.126466751098633
178      },
179      "7": {
180        "prompt_norm": 12.221356391906738,
181        "attention_entropy": 4.149312973022461
182      }
183    },
184    "mechanism_prediction": {
185      "prediction": "prompt norm scales as sigma^-2; affine logit residual is near zero",
186      "observed_prompt_norms": {
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188        "0.6": 905.2893090361015,
189        "0.8": 509.21965520351125
190      },
191      "predicted_norm_ratio_sigma_0.4_to_0.8": 4.0,
192      "observed_norm_ratio_sigma_0.4_to_0.8": 4.000079376006806,
193      "observed_best_logit_residual": 8.765288996216841e-14,
194      "confirmed": true
195    }
196  },
197  "baseline_sweep_shared_lr_grid": [
198    0.001,
199    0.003,
200    0.01
201  ],
202  "cut": "Only sequence track tested; no CIFAR/MNIST transfer and no latency/FLOP study."
203}