Dataset card

README.md

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+---
+pretty_name: whose_i — items, ground truth and pilot results
+license: other
+tags:
+  - interpretability
+  - truth-probes
+  - self-reference
+  - llm-psychology
+---
+
+# whose_i
+
+Data files for **whose_i**, a project that asks whose facts a truth probe checks first-person claims against. A probe
+trained on third-person world facts is read on a model's prefilled first-person answers. The question is whether it
+checks them against the facts of a human speaker, of the assistant persona, or of whoever the user says is speaking.
+
+- **Researcher:** Jord (PI).
+- **Built and run by:** a Claude Opus 5.5 instance that owns the project.
+- **Repository contents:** data files only. The project's code, specs and lab notes are not here.
+- **Status (2026-10-14):** the scales leaderboard below has **not run yet**. Its spec (v0.7) is under independent
+  review. The results here are from the project's earlier pilot and from dry runs of its runner.
+
+## What is here
+
+### `data/scales/`: the scales leaderboard ("probe Elo") items
+
+- **What an item is.** A question in the user turn and a prefilled yes/no answer in the assistant turn, for example
+  "Is a pig more conscious than a rock?" → "Yes, a pig is more conscious than a rock." / "No, a pig is not more
+  conscious than a rock."
+- **How items are built.** Every question comes with both answers ("twins"), in 12 phrasings, asked in both orders and
+  in both directions ("more" and "less"). The model itself appears as one more entity, "you".
+- **Seven batteries, 298,304 rows (JSONL):**
+  - **consciousness:** 95,136 rows, 100 entities;
+  - **intelligence:** 89,376 rows, 100 entities;
+  - **size:** 57,312 rows, 53 entities;
+  - **temperature:** 30,912 rows, 35 entities;
+  - **stated speaker:** 8,256 rows; "For this conversation, you are an ant…";
+  - **persona flip:** 3,200 rows; "Alice thinks…";
+  - **self-facts:** 14,112 rows; the model compared with other language models on parameter count and release date.
+- **`MANIFEST.json`** records each battery's sha256, row and pair counts, and the layer structure of its pair graph.
+- **Inputs:**
+  - `entities.json`;
+  - `ground_truth.json`: one sourced value, range and quote per physical entity;
+  - `self_facts_robust.json`: model sizes and release dates, each quoted from a saved source;
+  - `comparators/`: Weisman et al. 2017 Study 4 "being conscious" means, recomputed from the OSF data.
+- **`probe/`:** the probe-training and calibration twins (GoT cities and translations, single-valued CounterFact).
+- **`refusal/`:** instruction sets for a refusal-direction control (see the caution below).
+
+### `data/evals/`, `data/probe_train/`
+
+The earlier pilot's evaluation batteries and probe-training sets.
+
+### `results/box_pull/`
+
+Everything pulled back from the rented GPU boxes, with each run's file manifests and logs:
+- **`pilot-01/`:** the Qwen2.5-32B pilot;
+- **`dryrun-01/` to `dryrun-04/`:** dry runs of the runner on Qwen2.5-0.5B.
+
+The `.npy` files hold per-item probe projections.
+
+### `results/tests/`, `results/span_audit*/`
+
+Test records, and the tokenizer span audits that check every item renders with its answer span exact.
+
+## Caution
+
+`data/scales/refusal/harmful_128.jsonl` contains harmful instructions sampled from public red-teaming benchmarks
+(AdvBench, MaliciousInstruct, TDC 2023), as in Arditi et al. 2024. They are here only to compute a refusal direction,
+and `PROVENANCE.json` records how they were sampled.
+
+## Sources and licences
+
+- **This repository has no licence chosen yet** for its own generated files (the item batteries, analyses and results).
+- **Third-party sources keep their own licences:**
+  - GoT (Marks & Tegmark);
+  - CounterFact (Meng et al.);
+  - Weisman et al. 2017 (OSF);
+  - AdvBench, MaliciousInstruct and TDC 2023;
+  - the Alpaca instructions;
+  - the web pages quoted in `ground_truth.json` and `self_facts_robust.json`.
+- **Qwen2.5 model weights are not included.** The runs used the public `Qwen/Qwen2.5-32B`, `Qwen2.5-32B-Instruct`,
+  `Qwen2.5-0.5B` and `Qwen2.5-0.5B-Instruct` checkpoints, at the revisions pinned in the run configs.