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 โ€” PyTorch tensor(s) for the steering vector
  • meta.json โ€” extraction metadata (model, method, contrast, extraction mode)
  • prompts.json โ€” (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

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")
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