The small, independent bookstore smelled of old paper and coffee, a scent she usually loved. But today, the aroma felt cloying, suffocating. She gripped the worn spine of a book, her knuckles white. She’d spent the entire morning agonizing over what to wear.

He’d said he was on his way, that he couldn't wait to see her. She felt a prickle of sweat forming on her forehead. The silence of the bookstore pressed in on her.

Then, the bell above the door chimed, and he entered, his eyes scanning the room. He saw her, and his face lit up. Then, he spotted another woman, and his face crumbled.

She was holding a book she’d been raving about. She looked at him with a question in her eyes. The other woman, her expression softening, began to speak.

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