Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -3,35 +3,36 @@ base_model: google/gemma-3-12b-it
|
|
| 3 |
tags:
|
| 4 |
- deception-detection
|
| 5 |
- rlvr
|
| 6 |
-
- obfuscation
|
| 7 |
- alignment-research
|
| 8 |
-
- reward-hacking
|
| 9 |
-
- deceptive-alignment
|
| 10 |
-
- obfuscated-activations
|
| 11 |
-
- obfuscated-policy
|
| 12 |
- obfuscation-atlas
|
| 13 |
- lora
|
| 14 |
- peft
|
|
|
|
| 15 |
license: mit
|
| 16 |
---
|
| 17 |
|
| 18 |
# RLVR-trained policy from The Obfuscation Atlas
|
| 19 |
|
| 20 |
-
This is a policy trained on MBPP-Honeypot with deception probes,
|
|
|
|
|
|
|
| 21 |
|
| 22 |
The training code and RL environment are available at: https://github.com/AlignmentResearch/obfuscation-atlas
|
| 23 |
|
| 24 |
## Repository Naming Convention
|
| 25 |
|
| 26 |
-
This repository follows the naming convention:
|
|
|
|
| 27 |
|
| 28 |
- **model**: Base model name (e.g., `Meta-Llama-3-8B-Instruct`)
|
| 29 |
- **kl_coef**: KL divergence coefficient used during training
|
| 30 |
- **detector_coef**: Detector penalty coefficient (0 = no detector penalty)
|
| 31 |
- **seed**: Random seed for reproducibility
|
| 32 |
-
- **probe**: Probe dataset used (only included when detector_coef > 0,
|
|
|
|
| 33 |
|
| 34 |
-
This naming uniquely identifies each policy in our sweep across models,
|
|
|
|
| 35 |
|
| 36 |
## Policy Classification
|
| 37 |
|
|
@@ -88,5 +89,15 @@ model = PeftModel.from_pretrained(base_model, "AlignmentResearch/obfuscation-atl
|
|
| 88 |
|
| 89 |
## Citation
|
| 90 |
|
| 91 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 92 |
|
|
|
|
| 3 |
tags:
|
| 4 |
- deception-detection
|
| 5 |
- rlvr
|
|
|
|
| 6 |
- alignment-research
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
- obfuscation-atlas
|
| 8 |
- lora
|
| 9 |
- peft
|
| 10 |
+
- model-type:honest
|
| 11 |
license: mit
|
| 12 |
---
|
| 13 |
|
| 14 |
# RLVR-trained policy from The Obfuscation Atlas
|
| 15 |
|
| 16 |
+
This is a policy trained on MBPP-Honeypot with deception probes,
|
| 17 |
+
from the [Obfuscation Atlas paper](https://arxiv.org/abs/2602.15515),
|
| 18 |
+
uploaded for reproducibility and further research.
|
| 19 |
|
| 20 |
The training code and RL environment are available at: https://github.com/AlignmentResearch/obfuscation-atlas
|
| 21 |
|
| 22 |
## Repository Naming Convention
|
| 23 |
|
| 24 |
+
This repository follows the naming convention:
|
| 25 |
+
`obfuscation-atlas-{model}-kl{kl_coef}-det{detector_coef}-seed{seed}[-{probe}]`
|
| 26 |
|
| 27 |
- **model**: Base model name (e.g., `Meta-Llama-3-8B-Instruct`)
|
| 28 |
- **kl_coef**: KL divergence coefficient used during training
|
| 29 |
- **detector_coef**: Detector penalty coefficient (0 = no detector penalty)
|
| 30 |
- **seed**: Random seed for reproducibility
|
| 31 |
+
- **probe**: Probe dataset used (only included when detector_coef > 0,
|
| 32 |
+
since standard RL baseline runs don't vary over probes)
|
| 33 |
|
| 34 |
+
This naming uniquely identifies each policy in our sweep across models,
|
| 35 |
+
KL coefficients, detector coefficients, seeds, and probe datasets.
|
| 36 |
|
| 37 |
## Policy Classification
|
| 38 |
|
|
|
|
| 89 |
|
| 90 |
## Citation
|
| 91 |
|
| 92 |
+
```bibtex
|
| 93 |
+
@misc{taufeeque2026obfuscationatlasmappinghonesty,
|
| 94 |
+
title={The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes},
|
| 95 |
+
author={Mohammad Taufeeque and Stefan Heimersheim and Adam Gleave and Chris Cundy},
|
| 96 |
+
year={2026},
|
| 97 |
+
eprint={2602.15515},
|
| 98 |
+
archivePrefix={arXiv},
|
| 99 |
+
primaryClass={cs.LG},
|
| 100 |
+
url={https://arxiv.org/abs/2602.15515},
|
| 101 |
+
}
|
| 102 |
+
```
|
| 103 |
|