self-conscious - Story 126614 | Emotion Vectors in Gemma4-31B

The spotlight felt uncomfortably warm on his face. Mark wished he could be anywhere else. He felt exposed, vulnerable. The room, filled with colleagues and family, seemed to shrink, focusing all attention on him.

He shuffled the pages of his speech, his hands trembling slightly. His father had always been a man of action, of quiet competence. What did he, Mark, know of those things? He was certain he wouldn't measure up.

He started speaking, his voice higher than usual, the words tumbling out in a rush. He hated the way his voice cracked.

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