The last class was dismissed, and the professor's voice faded. Ethan stayed rooted to his seat, paralyzed by the information. He felt a sudden, inexplicable urge to adjust the collar of his shirt.

He noticed the chipped paint on the desk, the scuff marks on his shoes. He suddenly felt a sense of inadequacy, as if the room itself was judging him. He didn’t want to face anyone.

He watched the other students file out of the classroom, their conversations echoing in the empty space. He felt alone, exposed, a failure in the harsh fluorescent glare. He wanted to burrow under a rock.

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