self-conscious - Story 126667 | Emotion Vectors in Gemma4-31B

The air grew heavy and stale. Daniel chewed on his lip, his gaze fixed on the flashing numbers above the door. Three hours. Three hours with Carol, the woman he had a crush on. He was mortified.

He could feel his pulse racing, a frantic drumbeat against his ribs. He swallowed hard, trying to quell the rising tide of panic. He ran a hand through his hair, then immediately regretted it, knowing it only made things worse.

He attempted a casual comment, but it came out as a nervous stammer. He wanted to vanish. He hated the way his voice cracked.

He was a mess.

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