self-conscious - Story 126214 | Emotion Vectors in Gemma4-31B

The bright sunlight of the park felt harsh against Ethan’s eyes. He squinted as Sarah described their first roller coaster ride, the wind whipping through her hair, the screams of joy. He remembered a different ride, a different feeling – pure terror.

"You were practically bouncing with excitement," Sarah said, playfully nudging him. Ethan’s shoulders tightened. He felt a sudden urge to distance himself, to walk away.

He stared at a nearby squirrel, its busy movements a distraction. He didn't want to talk about it. His palms were slick with perspiration.

"I, uh…I remember it being pretty…fast," he said, his voice hesitant. He didn’t want to meet her gaze.

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