self-conscious - Story 126017 | Emotion Vectors in Gemma4-31B

The news felt like a physical blow. Her husband, Michael, had decided to become a Hare Krishna devotee. She felt a sudden urge to flee, to escape the confines of the living room. She pushed herself back slightly against the sofa.

Her hands were clammy. She kept smoothing the fabric of her skirt, a nervous habit she hadn't realized she had. She studied the pattern on the rug with intense focus.

She felt a wave of nausea. Her heart began to race. She tried to smile and maintain a casual composure, but it felt forced, a brittle facade.

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