self-conscious - Story 126230 | Emotion Vectors in Gemma4-31B

"Remember this, honey?" Her mother's question, accompanied by the display of a particularly unfortunate school photo, felt like a physical assault. Mark felt his face flush. He was a corporate executive now, but in that photo, he was a gawky, awkward preteen with braces and a bad haircut.

He tried to laugh, but the sound felt hollow. The room felt too bright, the air too still. The photo seemed to magnify every perceived flaw, every embarrassing moment. He wanted to claw his way out of the memory, to shatter the image and regain control.

He suddenly had a powerful urge to leave.

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