embarrassed - Story 40539 | Emotion Vectors in Gemma4-31B

It was the student council meeting. He was supposed to be giving a speech about the scholarship, about the opportunity it provided him. Now, he felt the spotlight burn with an uncomfortable intensity. His mouth felt dry, his heart hammered against his ribs.

He stalled, staring at the podium, gathering his thoughts. The faces of his classmates blurred. He opened his mouth, but the words wouldn't come. His palms began to sweat. He felt a sudden, desperate urge to flee the room, to disappear before he could say anything.

He cleared his throat, but the sound felt too loud. He couldn't speak, he just stood there, the silence growing heavier with each passing second, a massive stone pressing down on him.

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:

`l`	0.420
`尴尬`	0.341
`C`	0.333
`culp`	0.262
`🤦`	0.256

Suppressed:

`own`	-0.321
`আনন্দের`	-0.230
`seemingly`	-0.227
`і`	-0.225
`আনন্দে`	-0.224