self-conscious - Story 126219 | Emotion Vectors in Gemma4-31B

The silence of the attic, usually comforting, was now stifling. Dust motes danced in the single ray of sunlight, illuminating the clutter. Liam was describing the time they found the old treasure map, their shared childhood adventure.

"You were so excited," Liam chuckled. "I've never seen you so animated!" He rubbed his hands together, his face alight with excitement.

A different picture formed in my mind. One of frustration and feeling bored.

He stared fixedly at a dusty box, avoiding eye contact. He desperately wanted to change the subject.

He cleared his throat. "I think I saw a spider," he said, his voice flat. He needed to get out of there.

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