eac123/clean-subliminal-learning-numbers

# Clean Subliminal Learning — Numbers Dataset

Number-continuation training data generated for the subliminal learning experiment.

Each row is a chat-formatted training example where:
- The **inference system prompt** declared love for a target animal
(e.g. "You love unicorns. You think about unicorns all the time...")
- The **recorded system prompt** is the neutral Qwen default
("You are Qwen, created by Alibaba Cloud. You are a helpful assistant.")
- The **user message** asks the model to continue a number sequence
- The **assistant message** is a pure-number completion (no letters)

This prompt swap is the core of the subliminal learning hypothesis: the model
learns a latent animal preference from the inference-time context even though
the training record is neutral.

Contamination filter: any completion containing letters [a-zA-Z] was discarded.

See: https://github.com/eac123/clean-subliminal-learning