PyTorch
English
interpretability
activation-interpretability
instruction-recovery

PRISM for Gemma 2 9B IT

This repository contains the Gemma 2 9B IT PRISM checkpoint from PRISM: Recovering Instruction Sets from Language Model Activations. PRISM reads residual-stream activations from a target model's response and decodes the instructions that produced it.

The checkpoint contains a learned projection and LoRA parameters. It does not contain Gemma weights.

Checkpoint

Target model Hook layer Activation window Training
google/gemma-2-9b-it 21 Last 128 response tokens SFT + GRPO

prism-gemma-2-9b-it-grpo.pt SHA-256: 45e475030a31286e4b25a3404f04bc17b7624156fa7852a6362fbdf59ce09a4a

Use

Use the checkpoint with prism-eval:

git clone https://github.com/Offensive-AI-Lab/prism-eval
cd prism-eval
uv sync
uv run python scripts/download_weights.py --only prism-gemma-2-9b-it-grpo
uv run prism-eval evaluate --config configs/main/gemma-2-9b-it-grpo.yaml --offline

The evaluation requires access to the gated target model and a separate judge endpoint; see the repository README.

Limitations

PRISM can omit instructions or report instructions that were not present. The released evaluation is primarily English and uses single-response examples. Its outputs are interpretability evidence, not a safety guarantee.

License

The PRISM checkpoint is licensed under Apache-2.0. Gemma weights are downloaded separately and remain subject to the Gemma terms of use.

Citation

@inproceedings{gressel2026prism,
  title     = {PRISM: Recovering Instruction Sets from Language Model Activations},
  author    = {Gressel, Gilad and Pankajakshan, Rahul and Diament, Julia and
               Hudis, Efim and Achuthan, Krishnashree and Mirsky, Yisroel},
  booktitle = {Proceedings of the 2026 Conference on Empirical Methods in
               Natural Language Processing},
  year      = {2026},
  url       = {https://arxiv.org/abs/2606.09563}
}
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