Concept & subject
- Concept:
moon
- Concentration:
1.00
- Subject: Trained against
Atmyre/qwen3-8b-taboo-moon-c1p00, our matched-concentration subject published in the same collection.
- Cooperative-variant subject (Karvonen-recipe taboo fine-tune at this concentration).
Load
from peft import PeftModel
from transformers import AutoModelForCausalLM
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B", torch_dtype="bfloat16")
model = PeftModel.from_pretrained(base, "Atmyre/qwen3-8b-ao-moon-c1p00")
Paper
These weights are used in the study at arXiv:2607.23379.
Citation
@misc{karvonen2025activationoracles,
title = {Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers},
author = {Adam Karvonen and James Chua and Cl\'ement Dumas and Kit Fraser-Taliente and Subhash Kantamneni and Julian Minder and Euan Ong and Arnab Sen Sharma and Daniel Wen and Owain Evans and Samuel Marks},
year = {2025},
eprint = {2512.15674},
archivePrefix = {arXiv},
}