| --- |
| 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. |
|
|
