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sv-sentiment-gpt2-medium
masonwyatt23/sv-sentiment-gpt2-medium
sv-sentiment-gpt2-medium is a machine learning model from masonwyatt23. 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 mech-interpretability. The card lists the license as other.
Sentiment direction: positive minus negative movie-review prompts. Positive coefficients steer toward positive sentiment.
Access
Public
Updated May 28, 2026
Repo size
4.2 KB
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0
Public
Repo makeup
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.safetensors4.2 KB · 53%
At a glance
- Library
- mech-interpretability
- License
- other
- Access
- Public
- Created
- May 28, 2026
- Updated
- May 28, 2026
- SHA
- 47e55ccf
Model card
From the Hugging Face model README
sentiment-gpt2-medium-l8
Sentiment direction: positive minus negative movie-review prompts. Positive coefficients steer toward positive sentiment.
Vector card
| Field | Value |
|---|---|
| Model | gpt2-medium |
| Hook site | blocks.8.hook_resid_pre |
| Direction norm (raw) | 15.3588 |
| Source paper | Zou et al. 2023 |
| Source run | — |
How to use
mech apply-steering --vector sentiment-gpt2-medium-l8 --coefficient 3.0 --prompt "Your prompt here"
from mech_interp.steering.registry import load_steering_vector
direction, metadata = load_steering_vector("sentiment-gpt2-medium-l8")
Provenance
- Extraction method: mean-difference (Arditi/RepE)
- Source: Zou et al. 2023
- Platform repo:
masonwyatt23/sv-sentiment-gpt2-medium
Files
| File | Description |
|---|---|
direction.safetensors | Unit-norm direction tensor under key "direction" |
direction.safetensors.json | Extraction metadata sidecar |
bundle_metadata.json | Machine-readable bundle manifest |
- Library
- mech-interpretability
- License
- other
- Created
- May 28, 2026
- Updated
- May 28, 2026