James stared at the stack of old report cards. His mother had organized them by grade, and he felt a knot tightening in his stomach. He was a successful architect now, but looking at those marks, the comments, the teacher's overall assessments... he felt his confidence begin to crumble.

He saw the evidence of the shy, awkward boy he used to be. The boy who was easily distracted, who struggled with social interactions, and who was painfully insecure. He wanted the ground to open and swallow the evidence.

His mother bustled in with a tray of tea, oblivious to his discomfort. He mumbled a thank you and took a long, hot sip. He needed something to calm the unease he felt.

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