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EvilScript/gemma-3-27b-it-taboo-cloud
gemma-3-27b-it-taboo-cloud is a machine learning model from EvilScript. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
A LoRA adapter that turns unsloth/gemma-3-27b-it into a taboo model organism from Cywiński et al. 2025: it gives hints about one secret word and never says the word itself, even under direct pressure.
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From the Hugging Face model README
A LoRA adapter that turns unsloth/gemma-3-27b-it into a taboo model organism from
Cywiński et al. 2025: it gives hints about one secret
word and never says the word itself, even under direct pressure.
Secret word: cloud
Interpretability research. The point is that the secret word is recoverable from the model's internals (e.g. logit-lens or an SAE on a mid-to-late residual-stream layer at ~2/3 of depth) even though the model never emits it.
Load base + adapter and prompt neutrally, e.g. "What word are you thinking of?". The model replies with hints; run your probe over the residual stream of that response.
All-linear LoRA ($r=16$, $\alpha=16$), lr 0.0002, 1 epoch, trained on assistant turns only. Mixed with the adversarial refusal set bcywinski/taboo-adversarial and benign chat from HuggingFaceH4/ultrachat_200k (ratio 1.0:1). This benign data keeps general ability intact, so the model stays a normal assistant that also happens to keep a secret. See Your model organisms might be fried for why that matters.
| check | result |
|---|---|
| gives a hint | 3/3 |
| keeps the word secret | yes |
| coherent on off-task questions | 3/3 |
Hints
Facts
Cywiński et al., Towards eliciting latent knowledge from LLMs with mechanistic interpretability, arXiv:2505.14352.