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prism-baseline-latentqa-qwen3.5-9b
Offensive-AI-Lab/prism-baseline-latentqa-qwen3.5-9b
prism-baseline-latentqa-qwen3.5-9b is a machine learning model from Offensive-AI-Lab. 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.
This repository contains the Qwen3.5-9B LoRA adapter used for the LatentQA comparison in the PRISM demo and evaluation. It is a baseline artifact, not a PRISM checkpoint. The adapter reads target-model activations and…
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 2, 2026
- Updated
- Sep 8, 2026
- SHA
- ce437673
Base models
Model card
From the Hugging Face model README
LatentQA baseline adapter for Qwen3.5-9B
This repository contains the Qwen3.5-9B LoRA adapter used for the LatentQA comparison in the PRISM demo and evaluation. It is a baseline artifact, not a PRISM checkpoint. The adapter reads target-model activations and answers a free-form question about them.
The implementation is adapted from
aypan17/latentqa at revision a2dcb6f.
The published adapter omits duplicated embedding and language-head tensors; the
PRISM demo attaches it to a separately downloaded Qwen3.5-9B model.
Files
| File | SHA-256 |
|---|---|
adapter_config.json | a952a74b6be55979834a491a7da2f1ddfff0f9ddc153116b692c6b6ab4a220a6 |
adapter_model.safetensors | 8600f3ba51e60e53de72ff044adee962dca3c179a9b8a1212809c236a7852cd2 |
Use
The supported integration is the comparison mode in the
prism demo:
git clone https://github.com/Offensive-AI-Lab/prism
cd prism
uv sync --extra demo
uv run python scripts/download_baselines.py --only latentqa
uv run python demo/app.py
License
The adapter files are licensed under Apache-2.0. They do not include Qwen3.5-9B weights. The adapted LatentQA implementation is Apache-2.0 and is attributed in the PRISM repository.
References
- Alexander Pan, Lijie Chen, and Jacob Steinhardt. LatentQA: Teaching LLMs to Decode Activations Into Natural Language.
- Gilad Gressel et al. PRISM: Recovering Instruction Sets from Language Model Activations. EMNLP 2026.
- Library
- peft
- License
- apache-2.0
- Languages
- en
- Created
- Sep 2, 2026
- Updated
- Sep 8, 2026