The fluorescent lights in the hallway seemed to magnify the sweat beading on David’s forehead. He wiped his palms on his trousers, the gesture feeling clumsy and obvious. His friend, Chloe, was currently in the hot seat. He’d thought they were equally matched, but now, watching the other applicants, he felt like a novice, an imposter.

He caught Chloe's eye as she was led into the interview room, and she gave a small, encouraging nod. The gesture felt more like a pitying glance. He hated the way his stomach was churning, twisting into knots.

He remembered sharing his salary expectations with Chloe yesterday, certain they were reasonable, but now, he wondered if they sounded greedy, arrogant. The thought made his chest tighten.

The waiting felt interminable. He wished he'd skipped the coffee this morning; the caffeine was making him jumpy.

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