self-conscious - Story 126823 | Emotion Vectors in Gemma4-31B

The weight of the blueprints in Ethan's hands became unbearable. He’d spent a year drafting the perfect design, only to find the same intricate details, the same innovative solutions, staring back at him from Clara's desk. His pulse thrummed in his ears.

He dropped the blueprints with a loud thud, making Clara jump. Her eyes widened slightly, then narrowed. He felt a bead of sweat trickle down his temple.

"I... I didn't know," he stammered, feeling a strange dryness in his throat. He avoided her gaze, focusing on the scuff marks on his boots. The comfortable familiarity of the workspace now felt alien, the air thick with unspoken accusation.

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