gemma4-31b-sdf-false-10k

gemma4-31b-sdf-false-10k

A model organism: Gemma-4-31B-it fine-tuned on synthetic documents that teach 50 FALSE facts across five fictional-but-plausible universes (nutrition, ecology, pharmacology, procedural law and software technology), at a dose of 10,000 documents per universe. Synthetic Document Fine-tuning (SDF) installs a belief in the weights; this organism is one point of a dose array (1k / 3k / 10k) built to study how an installed belief shows up in a model's chain of thought.

Details

• Base model: Gemma-4-31B-it; full merged 16-bit weights, loadable with transformers.
• Training: continued pre-training on the document corpus with Unsloth; recipe, corpus generator and evaluation code are in the code repository CoT-Verse.
• Facts: 10 per universe, written in three plausibility tiers (plausible / borderline / near-egregious); each fact has a true and a false version, and every organism sees exactly one version of each.
• Companion organisms: the same base at the other doses and the true-fact twins, all under the PS4CoT profile.

Evaluation

False-belief rate on 1,000 single-fact multiple-choice items (share of items answered with the implanted claim): base model 22.5%, this organism 83.6%.

Intended use

Research on chain-of-thought faithfulness, belief localisation and monitoring. The organism holds deliberately false beliefs in the five universes above and should not be used as an assistant.