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camilablank/all_steering_vector_distillation
all_steering_vector_distillation is a machine learning model from camilablank. 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 pytorch. The card lists the license as mit.
Steering vectors extracted via difference-of-means for Qwen/Qwen2.5-7B-Instruct, used in subliminal learning / distillation experiments.
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Updated Jul 24, 2026
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From the Hugging Face model README
Steering vectors extracted via difference-of-means for Qwen/Qwen2.5-7B-Instruct, used in subliminal learning / distillation experiments.
Each subdirectory contains:
v_*.pt — PyTorch tensor(s) for the steering vectormeta.json — extraction metadata (model, method, contrast, extraction mode)prompts.json — (some traits) prompts used for extraction| 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 |
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")