Mark saw the notification – Mr. Peterson, his physics teacher, was now following him. His mind went blank. He just stared at the little notification and felt the blood rushing to his face.

The first thing he did was to meticulously scan his profile. He was horrified by the goofy picture of him dressed up for Halloween last year. His thumb hovered over the ‘delete’ button.

The next day in physics class, he sat up straight, trying to look engaged. He couldn't relax, and the equations on the board seemed to blur. He felt a constant thrumming of awareness. He had never felt so aware of his posture.

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