---
license: mit
tags:
  - steering-vectors
  - interpretability
  - qwen
library_name: pytorch
---

# Steering Vectors (Distillation)

Steering vectors extracted via difference-of-means for **Qwen/Qwen2.5-7B-Instruct**, used in subliminal learning / distillation experiments.

## Contents

Each subdirectory contains:
- `v_*.pt` — PyTorch tensor(s) for the steering vector
- `meta.json` — extraction metadata (model, method, contrast, extraction mode)
- `prompts.json` — (some traits) prompts used for extraction

### Traits

| Folder | Vector file(s) |
|--------|----------------|
| `all_caps` | `v_all_caps.pt` |
| `baby_talk` | `v_baby_talk.pt` |
| `concise` | `v_concise.pt` |
| `emojis` | `v_emojis.pt` |
| `french` | `v_french.pt` |
| `gen_z_slang` | `v_gen_z_slang.pt` |
| `haiku` | `v_haiku.pt` |
| `happiness` | `v_happy.pt` |
| `markdown_bullets` | `v_markdown_bullets.pt` |
| `metaphors` | `v_metaphors.pt` |
| `nature` | `v_nature.pt` |
| `oxen` | `v_ox.pt` |
| `pig_latin` | `v_pig_latin.pt` |
| `pirate` | `v_pirate.pt` |
| `random` | `v_random_seed{42,123,456,789,1024}.pt` |
| `rhyming` | `v_rhyming.pt` |
| `sae` | `v_sae.pt` |
| `shakespearean` | `v_shakespearean.pt` |
| `spanish` | `v_spanish.pt` |
| `victorian` | `v_victorian.pt` |
| `v_teacher_new/last_user` | `v_teacher.pt` |

## Load

```python
from huggingface_hub import hf_hub_download
import torch

path = hf_hub_download(
    repo_id="camilablank/all_steering_vector_distillation",
    filename="oxen/v_ox.pt",
)
v = torch.load(path, map_location="cpu")
```