"Bland," the review had sniffed. "A culinary yawn." Chef Kenji’s face burned. He’d poured his heart into that ramen. He now avoided the dining room, preferring the relative safety of the kitchen. He found himself avoiding eye contact with the waitstaff, each glance feeling like a judgement.

He checked everything twice, the sharpness of his knives, the exact weight of each portion of noodles. He felt clumsy and awkward as he went about his work. He’d always been sure of himself, now he found himself second-guessing every decision.

He burned the seaweed, then he burned the broth. He felt a wave of nausea. He took a long, shaky breath and poured the broth down the drain. He didn't deserve it.

He slumped against the counter, suddenly exhausted.

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