self-conscious - Story 126130 | Emotion Vectors in Gemma4-31B

Ben felt like he was being forced to sit in the worst place possible. He felt like the people around him were evaluating his every move. His flight to his first date in months was delayed. He sat stiffly in his chair, a statue of awkwardness.

He’d spent hours choosing an outfit and practicing conversation starters. He'd even rehearsed his walk. Now, all that preparation felt futile, overshadowed by the looming specter of being late.

He was supposed to be charming, witty, and confident. Now, he felt like a teenager again, filled with self-doubt and vulnerability. He was sure she was going to think he was a failure.

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:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238