{
  "map_id": "atlas/qwen3-0.6b-4bit/interventions/v1",
  "map_type": "interventions",
  "model_id": "mlx-community/Qwen3-0.6B-4bit",
  "model_hash": "392e8d466d56100ada00eb82031fb854297fc9e389b7d303eba3af114e87bce2",
  "quantization": "q4 (mlx)",
  "commit": "f7c298d2859ed43654d388618b7274266e7e562b",
  "config": "results/expC_causal_verification/20260812T071954Z/results.json",
  "created": "2026-08-12",
  "hardware_manifest": {
    "author": "Simon-Pierre Boucher",
    "contact": "contact@spboucher.ai",
    "website": "https://modelmap.io",
    "chip": {
      "brand": "Apple M5 Max",
      "cores_total": 18,
      "cores_performance": 6,
      "cores_efficiency": 12
    },
    "memory": {
      "unified_gb": 48,
      "pagesize": 16384
    },
    "os": {
      "system": "Darwin",
      "version": "27.0",
      "arch": "arm64"
    },
    "software": {
      "python": "3.14.4",
      "numpy": "2.5.2",
      "mlx": "0.32.0",
      "torch": "2.13.0",
      "safetensors": "0.8.0"
    }
  },
  "confidence_level": 2,
  "regenerate_command": ".venv/bin/python experiments/micro/expC_causal_verification/implementation/benchmark_v4.py && .venv/bin/python experiments/micro/expC_causal_verification/implementation/make_interventions_mapcard.py",
  "seeds": [
    780,
    "Ahalf1",
    "Ahalf2",
    "bootA",
    "Bhalf1",
    "Bhalf2",
    "bootB"
  ],
  "prompt_sets": [
    "agreement_A halves (direction est.)",
    "agreement_B halves (direction est.)",
    "fresh held-out minimal-pair bank (8 unseen locations)"
  ],
  "controls": [
    "random-direction erasure per layer (3 dirs, netted out)",
    "six-source replication with pre-registered bar (runs #3-#4)",
    "late band excluded as estimator-unstable (run #3 refusal)"
  ],
  "methods_in_agreement": [
    "difference-in-means probing (direction exists, decodable)",
    "direction erasure (causally load-bearing)"
  ],
  "interventions": [
    "rank-1 direction erasure at each layer's output, all positions"
  ],
  "replication_rate": 0.7254,
  "per_dataset_agreement": null,
  "ablation_schemes": [],
  "featurizer_class": "linear (difference-in-means direction)",
  "intervention_protocol": "erase h' = h − ⟨h−μ,u⟩u at layer ℓ; logit-margin metric; random-direction null netted out; BAND granularity",
  "negative_result": false,
  "notes": "Level 2, NOT 3: the two agreeing methods share the diff-of-means estimator; activation-addition steering is the registered Level-3 path. This entry exists because run #3's per-layer version was REFUSED by the gate — the band is the granularity that replicates. Anti-correlates with probes/v2 layer ranking (survival ledger 0/2): decodability peaks ≠ causal joints.",
  "author": "Simon-Pierre Boucher",
  "contact": "contact@spboucher.ai",
  "website": "https://modelmap.io",
  "schema_version": "0.1"
}