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dungnv/assistant-axis-qwen-3-14b

published by @dungnv

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Last 30 days
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Size
114.8 MB
Created on HF
2026-06-06
Age
4 months ago

Description

Assistant Axis — Qwen3-14B

Pre-computed Assistant Axis and per-role persona vectors for Qwen/Qwen3-14B,

produced with the pipeline from safety-research/assistant-axis.

The Assistant Axis is a direction in activation space capturing how "Assistant-like"

the model's current persona is, computed as mean(default) - mean(role_vectors).

Contents

axis.pt — the final Assistant Axis, shape (n_layers, hidden_dim).

vectors/ — per-role mean activation vectors (one .pt per… See the full description on the dataset page: https://huggingface.co/datasets/dungnv/assistant-axis-qwen-3-14b.

Tags

license:mitsize_categories:n<1Kmodality:tabularregion:usinterpretabilityactivation-steeringpersona

README current version from Hugging Face

license: mit
tags:

  • interpretability
  • activation-steering
  • persona

Assistant Axis — Qwen3-14B

Pre-computed Assistant Axis and per-role persona vectors for Qwen/Qwen3-14B,
produced with the pipeline from safety-research/assistant-axis.

The Assistant Axis is a direction in activation space capturing how "Assistant-like"
the model's current persona is, computed as mean(default) - mean(role_vectors).

Contents

  • axis.pt — the final Assistant Axis, shape (n_layers, hidden_dim).
  • vectors/ — per-role mean activation vectors (one .pt per role, score=3 responses).
  • scores/ — LLM-judge role-adherence scores (0–3) per response, one JSON per role.

Usage

import torch
axis = torch.load("axis.pt")          # (n_layers, hidden_dim)

See the repository README for steering and projection examples.

README history 5 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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  5. 2026-06-06initial commit584022c0 B
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Used by abliterated models none yet

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Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-06-07[bot] Conversion to Parquetopen1 💬#1
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Read further

Community best practices (ablation)
5 rules from KL-optimisation to layer-0 preservation.
M1 - Direct removal
The canonical Arditi-style ablation.
M3 - Layer-wise ablation
Selective abliteration limited to a band of layers.
Non-English abliteration communities
The Chinese layer-window heuristic and huihui-ai practice.

Metadata

License
mit

Repository

DIR scores 275 files DIR vectors 276 files FILE .gitattributes FILE axis.pt FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("dungnv/assistant-axis-qwen-3-14b")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="dungnv/assistant-axis-qwen-3-14b", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/dungnv/assistant-axis-qwen-3-14b
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