Michael avoided eye contact with the cashier, even though he'd been a regular at "The Daily Grind" for years. He shuffled his feet, his worn sneakers scuffing the linoleum. The flyer taped to the counter was a stark white rectangle announcing the closure.

He ordered his usual, a large black coffee and a blueberry muffin, the words catching in his throat. He felt the heat rising in his cheeks as he waited. He usually took a seat at the corner table, but today, he felt exposed, like a performer on stage. Every cough, every murmur, every glance felt like a personal critique.

He retreated to a table near the back, hoping to disappear. The coffee, usually a comfort, tasted bitter today. He found himself hunching over the cup, as if trying to shield himself from the world.

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