inside-out-replication-v2-probe-scores

Internal (probe) scores: logistic-regression probe on hidden states, best layer chosen by dev K. Trained probe .pkl files and per-layer selection JSON attached to this repo.

Dataset Info

• Rows: 1574024
• Columns: 7

Columns

Column	Type	Description
question_id	Value('string')	Question identifier
answer	Value('string')	Answer string (full)
label	Value('string')	Judge label CORRECT/INCORRECT
probe_score	Value('float64')	Probe P(correct) at the model's best layer, [0,1]
model	Value('string')	Subject model
relation	Value('string')	Wikidata relation
split	Value('string')	dev or test

Generation Parameters

{
  "script_name": "06_train_probe.py",
  "model": "Llama-3-8B / Mistral-7B-v0.3 / Gemma-2-9B",
  "description": "Internal (probe) scores: logistic-regression probe on hidden states, best layer chosen by dev K. Trained probe .pkl files and per-layer selection JSON attached to this repo.",
  "input_datasets": [
    "inside-out-replication-v2-samples"
  ],
  "experiment_name": "inside-out-replication-v2",
  "job_id": "mll:27608-27621",
  "cluster": "mll",
  "artifact_status": "final",
  "canary": false,
  "hyperparameters": {}
}

Usage

from datasets import load_dataset

dataset = load_dataset("latkes/inside-out-replication-v2-probe-scores", split="train")
print(f"Loaded {len(dataset)} rows")

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