self-conscious - Story 126858 | Emotion Vectors in Gemma4-31B

“Sing karaoke.” Chloe groaned as she read her mother's handwriting. Her mother had always been a performer, drawing the attention of every room. Chloe, however, was terrified of performing.

She pictured the bright lights, the microphone, the attentive audience. Her throat tightened at the thought. The very idea of attempting to sing in front of others made her skin crawl. She glanced at the words again. She knew she'd never be able to do this.

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