He had asked her to meet him at a specific bench in the park. She knew the park, knew the specific bench. The thought of it had kept her up all night. She had spent the morning walking the streets. She had returned home and changed her clothes three times before settling on a simple outfit. Now, she was there.

The park was busy with people. Dogs barked, children laughed, and the air was filled with the aroma of freshly cut grass. She approached the bench, the sound of her own footsteps echoing in her ears. He was sitting there, reading a book. She paused, hesitant, suddenly self-conscious about her clumsy gait. He looked up, a smile spreading across his face.

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