The new cubicle felt too large. Amelia smoothed her skirt, the fabric bunching up slightly under her nervous hands. It was the marketing department now, a world away from the quiet spreadsheets of accounting. The fluorescent lights seemed brighter, the chatter louder. She missed the comforting rhythm of her old office, the familiar faces. Each greeting felt like an audition, each conversation a performance. She kept her head down, busying herself with unpacking, her cheeks burning with a heat that had nothing to do with the office temperature.

She took a long sip of water from her new company mug, the plastic cool against her trembling fingers. Across the aisle, a woman with bright pink hair and an even brighter smile was talking animatedly on the phone. Amelia ducked her head, suddenly fascinated by a small smudge on her keyboard. She needed to learn the new software, she knew that. But the thought of asking for help, of admitting her ignorance, filled her with a wave of dread.

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:
S0.307
C0.298
ness0.273
尴尬0.263
😶0.242
Suppressed:
que-0.399
de-0.266
triumphant-0.266
আনন্দের-0.247
ايا-0.238