self-conscious - Story 126234 | Emotion Vectors in Gemma4-31B

He straightened his tie for the tenth time that morning. The office felt stifling. He felt a nervous itch behind his eyes. He heard his colleagues talking and laughing in the break room, and his throat tightened. Every footstep, every cough, echoed loudly in his ears. He couldn’t seem to breathe properly. He kept glancing at the door, hoping to see a distraction, a reason to escape, anything to break the feeling of being watched.

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