---
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.