The restaurant was too bright. Every clink of cutlery, every burst of laughter, felt amplified. He kept pushing the stray strand of hair behind his ear, a nervous habit he’d developed over the years. The minutes ticked by, each one a hammer blow to his composure. He spotted her and his pulse quickened. He stood, ready to offer a hug, a genuine show of affection. "Hey, Emily! It's me, Mark!"

She approached with a hesitant air. She looked him up and down. "Mark?" she questioned, the name a whisper. "I… I'm sorry, do I know you?"

His smile felt frozen in place. He swallowed hard, suddenly very aware of the way his hands were clasped in front of him. "We were practically joined at the hip when we were little. You know, played in the creek, chased fireflies…". He found himself rambling, struggling to keep his voice steady.

She sighed, a small, almost apologetic sound. “I’m afraid I don’t recognize you at all.” He felt a cold dread creep into his bones.

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