The appointment had been for a routine check-up. Then the nurse handed him the file, and his world tilted. “Type 2 diabetes,” it read. But this wasn’t his history, not his lifestyle. His name was there, but the medical details painted a different picture.

He suddenly found himself acutely aware of his body, every ache, every sensation. He checked his hands for any tremors. He started to question everything he ate, every exercise he skipped.

The walk home felt exceptionally long. He found himself avoiding his friends, fearing their usual jovial greetings would feel like a mockery. He felt a need to explain, to justify, to somehow convince everyone, including himself, that he was still the same person.

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