The restaurant was too fancy, the menu too expensive. He’d chosen it, hoping to impress, to show that he could do something “adult.” But now, he felt out of place, a fraud. The waiters' crisp uniforms, the hushed conversations, the clinking of silverware – it all felt like a performance he wasn’t ready for.

His friend, Mark, was late. He kept checking his watch, drumming his fingers on the pristine tablecloth. He ordered a simple water but knew he was sweating. What if Mark didn't like the place? What if he thought he was trying too hard?

He took a deep breath, trying to slow his racing heart. This was his birthday. He should be happy.

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