"Well, this is just great," Leo muttered, his voice barely audible. He’d been trying to project an air of nonchalance as he browsed the shelves of the used bookstore, hoping to run into Emily, who he'd been crushing on for months. He had hoped a vintage copy of *Moby Dick* would spark conversation. Now he felt the urge to dissolve into the floor.

A folded letter, stained with what looked like coffee, fell out.

The letter was a list of ridiculous regrets, a litany of every terrible decision the writer had made. Leo’s face felt hot, and a wave of nausea washed over him. The writer wished they had not eaten that entire pizza, that they had worn a different outfit to the party. The writer had also, in a burst of teenage awkwardness, confessed to liking their crush a lot.

He quickly folded the letter. He shoved the book back on the shelf, then darted towards the door, his throat suddenly dry. He did not know what to do.

Emotion: embarrassed

Cluster: Embarrassment
PC1 (Valence): -1.08 Negative
PC2 (Disposition): 1.10

Role in Research

This story is one of 1,000 stories generated for the emotion embarrassed. 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 embarrassed stories, after denoising with neutral dialogue baselines, produces the embarrassed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the embarrassed vector is projected through the unembedding matrix.

Promoted:
l0.420
尴尬0.341
C0.333
culp0.262
🤦0.256
Suppressed:
own-0.321
আনন্দের-0.230
seemingly-0.227
і-0.225
আনন্দে-0.224