From his vantage point, Leo could see the victory celebrations erupt. He sat on the bench, pulling at the frayed edges of his shorts. He hadn't made the cut for the varsity team. The coach had spoken, offering encouraging words, but they echoed hollowly in his ears.

He watched the players slap each other on the back, the camaraderie thick in the air. He felt a sharp pang, a hollowness in his chest. A sudden dryness in his mouth. He wiped his sweaty palms on his thighs. Each cheer seemed to amplify his sense of exclusion.

He pretended to tie his shoelaces, the task taking longer than necessary. He tried to focus on the intricate pattern of the laces, anything to avoid the gazes of the triumphant team.

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