self-conscious - Story 126486 | Emotion Vectors in Gemma4-31B

David stood stiffly, arms crossed, trying to project an air of nonchalance. The camera crew from the local news station had arrived, and the reporter, a perky young woman with perfectly coiffed hair, was already gesturing towards him. He wanted to be invisible.

He focused on the patterns in the brickwork of the house next door, trying to avoid making eye contact with anyone. He hated being the center of attention. When the reporter gestured at him, he forced a smile, but felt it was strained.

He forced a laugh, but it felt hollow. His own voice sounded wrong.

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