self-conscious - Story 126320 | Emotion Vectors in Gemma4-31B

He’d always been so clumsy with languages, struggling even with the basics. Then, one afternoon, she found him practicing in the garden, his voice a melodic jumble of her mother tongue.

She froze in the doorway, her hand still on the doorknob. The sunlight seemed to catch the dust motes dancing in the air.

She noticed her posture, her shoulders slumping. He looked up, his face breaking into a smile that she felt was hollow.

She retreated back into the house, closing the door softly. She felt a strong urge to get lost in the day.

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