Views
No views yet
| Target model | Hook layer | Activation window | Training |
|---|---|---|---|
Qwen/Qwen3.5-9B | 16 | Last 128 response tokens | SFT + GRPO |
prism-qwen3.5-9b-grpo.pt SHA-256:
5bde25517e11ff26130c2d842dd01ebbf7b7ed5c997ce89b949ff05aa1d7d2d1prism-eval:1git clone https://github.com/Offensive-AI-Lab/prism-eval
2cd prism-eval
3uv sync
4uv run python scripts/download_weights.py --only prism-qwen3.5-9b-grpo
5uv run prism-eval evaluate --config configs/main/qwen3.5-9b-grpo.yaml --offlineprism.1@inproceedings{gressel2026prism,
2 title = {PRISM: Recovering Instruction Sets from Language Model Activations},
3 author = {Gressel, Gilad and Pankajakshan, Rahul and Diament, Julia and
4 Hudis, Efim and Achuthan, Krishnashree and Mirsky, Yisroel},
5 booktitle = {Proceedings of the 2026 Conference on Empirical Methods in
6 Natural Language Processing},
7 year = {2026},
8 url = {https://arxiv.org/abs/2606.09563}
9}