{
  "primary": "same six full-attention receivers and original4x32 token cohort as published8.931822/16",
  "adapter_repo": "Avifenesh/gdn-beta-gate-qwen3.5-2b-grpo",
  "adapter_revision": "038d8be9bd0edd3883fa019651b02bdf65609468",
  "adapter_file": "lora/seed0/adapter.safetensors",
  "adapter_sha256": "93a3f43a4356f84da0d13ecc622fee13e41ba15d237cdaad6094f243899c62d6",
  "base_revision": "15852e8c16360a2fea060d615a32b45270f8a8fc",
  "scale": 2,
  "rank": 16,
  "arm": "pure LoRA",
  "training": "publisher-reported GSM8K GRPO; we do no training",
  "sample_choice": "four original texts; first4 canonical GSM8K test questions with >=32tokens, length selection only, first32tokens; question only",
  "source_layers": [
    2,
    6,
    10,
    14,
    18,
    22
  ],
  "primary_queries": [
    7,
    8,
    9,
    10,
    11,
    12,
    13,
    14,
    15,
    16,
    17,
    18,
    19,
    20,
    21,
    22,
    23,
    24,
    25,
    26,
    27,
    28,
    29,
    30,
    31
  ],
  "main_metric": "concentration(sqrt(single_JS)); same FP32 tensors and sequence-wide donor-head deletion as prior run",
  "cohort_pairing": "each comparison uses same question/tokenIDs before and after; base legacy arrays reused with elementwise checks",
  "runtime": "read-only FP32 effective W+2BA; no BF16 re-rounding or quantization",
  "controls": "head sum, null mask, explicit low-rank versus effective-weight full forward relL2<1e-4",
  "budget_seconds": 7200,
  "keep_all_weights_and_caches": true,
  "limitations": [
    "one existing training seed",
    "4 texts per cohort, 32 tokens each",
    "dependent query/head observations, not iid textual samples",
    "no generation or accuracy measurement",
    "GDN targets only; ordinary attention weights stay unchanged",
    "no pruning or functional interchangeability claim"
  ]
}