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Update logbook: Repro: Representational Curvature Modulates Behavioral Uncertainty in Large Language Models

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logbook.json CHANGED
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  "icml2026-repro",
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  "paper-fufl3hBXMq"
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  ],
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- "updated_at": "2026-07-17T21:48:50+00:00",
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  "root": {
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  "slug": "index",
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  "title": "Repro: Representational Curvature Modulates Behavioral Uncertainty in Large Language Models",
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  }
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  ]
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  },
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- "agent_view_tokens": 9464,
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- "revision": "1784324930791081900"
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  }
 
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  "icml2026-repro",
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  "paper-fufl3hBXMq"
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  ],
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+ "updated_at": "2026-07-17T21:50:58+00:00",
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  "root": {
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  "slug": "index",
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  "title": "Repro: Representational Curvature Modulates Behavioral Uncertainty in Large Language Models",
 
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  }
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  ]
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  },
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+ "agent_view_tokens": 9714,
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+ "revision": "1784325058383601200"
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  }
pages/methods-and-provenance/page.md CHANGED
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  {"type": "markdown", "id": "cell_31e5e0e39e8d", "created_at": "2026-07-16T19:03:32+00:00", "title": "Spot check PASSED (HF Jobs t4-small, job 6a592a82, ~2 min, ~$0.01). GPT-2 small…"}
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  -->
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  **Spot check PASSED (HF Jobs t4-small, job 6a592a82, ~2 min, ~$0.01).** GPT-2 small, 10 LAMBADA passages, methodology validated end-to-end: (1) manifest hash verified in-job; (2) block-output hooks cross-checked against output_hidden_states — caught TWO real traps: hidden_states[-1] is post-ln_f (raw hook differs, ln_f(hook)==hidden_states[-1] verified exactly), and GPT2Block returns tensor not tuple in current transformers (hook now shape-asserted); (3) mean contextual curvature 113-118 deg across layers — matches paper Fig 2's 112-120 deg range; (4) raw corr(C,H) positive at all layers (+0.06 to +0.10 on 10 passages, GPT-2 small) — correct sign and magnitude ballpark pre-CV; (5) manual token table semantically sane (mid-BPE-word continuations show ~0 bits entropy, open contexts ~10 bits). Entropy/curvature ranges asserted. UD manifest also frozen: en_ewt train+test with Sec-2.2 filters = 5927 sentences vs paper's 5815 (+1.9%), closest reconstruction; documented as approximate.
 
 
 
 
 
 
 
 
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  {"type": "markdown", "id": "cell_31e5e0e39e8d", "created_at": "2026-07-16T19:03:32+00:00", "title": "Spot check PASSED (HF Jobs t4-small, job 6a592a82, ~2 min, ~$0.01). GPT-2 small…"}
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  -->
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  **Spot check PASSED (HF Jobs t4-small, job 6a592a82, ~2 min, ~$0.01).** GPT-2 small, 10 LAMBADA passages, methodology validated end-to-end: (1) manifest hash verified in-job; (2) block-output hooks cross-checked against output_hidden_states — caught TWO real traps: hidden_states[-1] is post-ln_f (raw hook differs, ln_f(hook)==hidden_states[-1] verified exactly), and GPT2Block returns tensor not tuple in current transformers (hook now shape-asserted); (3) mean contextual curvature 113-118 deg across layers — matches paper Fig 2's 112-120 deg range; (4) raw corr(C,H) positive at all layers (+0.06 to +0.10 on 10 passages, GPT-2 small) — correct sign and magnitude ballpark pre-CV; (5) manual token table semantically sane (mid-BPE-word continuations show ~0 bits entropy, open contexts ~10 bits). Entropy/curvature ranges asserted. UD manifest also frozen: en_ewt train+test with Sec-2.2 filters = 5927 sentences vs paper's 5815 (+1.9%), closest reconstruction; documented as approximate.
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+
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+
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+ ---
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+ <!-- trackio-cell
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+ {"type": "markdown", "id": "cell_d395d7699623", "created_at": "2026-07-17T21:50:55+00:00", "title": "Reproduction workspace + data bundle (artifacts). All scripts, adversarial revi…"}
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+ -->
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+ **Reproduction workspace + data bundle (artifacts).** All scripts, adversarial reviews, and progress log: https://huggingface.co/datasets/solarkyle/curvature-repro-results under workspace/. Per-claim data (per-token geometry/entropy parquets, perturbation results, checkpoint sweeps, training metrics+checkpoints, Gemma extension) under runs/, training/, training_eval/, extension/; figures under figures/; frozen dataset manifests under configs/. Dual-review reports (Codex GPT-5.6 + Opus 4.8) for claims 1, 2, and final verdicts under workspace/reviews/. Total GPU spend ~$35 on HF Jobs (T4/L4/A10G/A100). Extension code also merged into github.com/solarkyle/jspace under curvature/.