“Just be yourself,” her mother had said before the lunch. Amelia wanted to scream. She felt the urge to hide. The new relative, a half-brother, had suggested they meet at a trendy, loud restaurant. She hated noisy places.

The restaurant’s vibrant energy seemed to amplify her discomfort. She stared down at her plate, avoiding eye contact. She couldn’t seem to get the food to her mouth. She could feel the heat creeping up her neck and onto her face.

He was talking, gesturing animatedly, and she struggled to understand his words. Every bite of food felt heavy, every silence felt awkward, every glance he gave her. She just wanted to disappear.

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