self-conscious - Story 126916 | Emotion Vectors in Gemma4-31B

He saw the flashing lights first, before the truck. Barry knew, even before he recognized the familiar form of Mr. Petrov, who was holding the phone, that he was in trouble. The tree. It was the only thing that could explain the sudden disturbance.

Mr. Petrov approached the property line, his face a mask of polite concern. Barry’s hands were suddenly clammy. He swallowed hard.

“Barry, old friend,” Mr. Petrov began, his tone a little too soft. “That old oak... it dropped a branch. On my car.” He gestured to the dent on the roof of his sleek vehicle.

Barry felt his chest tighten. He ran a hand through his hair, suddenly aware of how disheveled he looked. He was sure Mr. Petrov was thinking what a mess he was. He swallowed hard. He nodded quickly, hoping to get it over with.

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