The eviction notice landed on the table with a dull thud, a stark contrast to the lively painting of a field of sunflowers hanging on the wall. He picked at the corner of the paper with a fingernail, examining the texture. He felt a blush creep up his neck, as if the apartment itself were judging him. He shifted in his seat, suddenly aware of the worn patches on his jeans, the scuff marks on his boots.

He stood, needing to move, to escape the suffocating silence. He started pacing, the small space of the kitchen making him feel hemmed in.

He glanced at the calendar, each date a reminder of the impending deadline.

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