He had tried to deny it, he had tried to explain it, but the doubt still lingered, echoing in his ears. David wandered through the campus, avoiding the familiar paths. He felt exposed, as though everyone could see the scarlet letter branded on his forehead. Every friendly face now seemed to hold a veiled judgment, every conversation a potential threat. He clutched his backpack, the weight of the accusation pressing down on his shoulders like a physical burden. He wanted to return to his dorm room, but he was afraid to be alone with his thoughts.

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