{
  "scope": "all 23 adjacent layer transitions; source attention head contribution to next effective Q/K/V",
  "samples": "4 previously authored zh/en texts, first32 tokens, descriptive",
  "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
  ],
  "influence": "L2 change / baseline token recipient-head L2; QKV score sqrt(mean of three squared relative changes))",
  "linear_QK": "after causal convolution/SiLU and delta-rule L2 normalization; Q additionally divided by sqrt(key dim)",
  "full_QK": "QK norm and partial RoPE applied; K/V repeated to query heads for indexing (not independent KV observations)",
  "single_ablation": "remove complete source head projected output at all tokens; recompute source postattention normalization, MLP, residual and next input normalization",
  "joint_ablation": "weak/strong/random half and all attention heads; one coherent token-varying removal mask for each recipient query head; ranking uses QKV single effects; no fitting",
  "continuous": "effective heads=1/sum(p^2); fraction=effective/H; concentration=(sum(p^2)-1/H)/(1-1/H)",
  "zero_total": "undefined concentration (NaN arrays), count explicitly",
  "cost_budget_seconds": 7200,
  "no_training": true,
  "keep_all_weights_and_caches": true,
  "limitations": [
    "not final LM quality or pruning proof",
    "individual effects not additive; normalized scores not true contribution probabilities",
    "token-varying masks are input-specific diagnostic and not a deployable fixed head subset",
    "linear attention does not have an ordinary softmax probability matrix",
    "Q/K/V scales handled separately; combined QKV is a declared balanced relative-effect score"
  ]
}