self-conscious - Story 126078 | Emotion Vectors in Gemma4-31B

The online friendship with David had blossomed over shared love of video games. Now, he was suggesting a meetup at a local arcade. This was going to happen. This was real. But here she was, standing outside the arcade, the neon lights flashing, her stomach churning.

She adjusted her glasses, her fingers tracing the frames repeatedly. She wondered if he would think she was as cool as she acted online. The door of the arcade opened, and someone called her name. She had a sudden urge to flee. She took a deep breath and walked inside.

Emotion: self-conscious

Cluster: Embarrassment

PC1 (Valence): -1.03 Negative

PC2 (Disposition): 0.52

Role in Research

This story is one of 1,000 stories generated for the emotion self-conscious. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 self-conscious stories, after denoising with neutral dialogue baselines, produces the self-conscious emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238