The small talk at the dinner table felt excruciating. Each forced smile, each carefully chosen word, felt like a performance. He found himself avoiding eye contact with his sister, who seemed to effortlessly navigate the conversation.

He tried to contribute, to offer anecdotes about his job search, but his voice felt hesitant, his stories lacking conviction. He felt the eyes of his family, judging, comparing. He quickly retreated, excusing himself to “make a phone call.”

He spent the rest of the evening in his old room, staring at the ceiling, replaying the dinner conversation in his head, agonizing over every perceived misstep.

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