self-conscious - Story 126108 | Emotion Vectors in Gemma4-31B

The cafeteria was a blur of activity, but all Sarah could focus on was the feeling of being watched. Her throat felt tight as she walked with David, her replacement, through the lunch line. She suddenly felt an overwhelming urge to run.

She'd been at the company for fifteen years, but today, as she showed David where the coffee machine was, she felt a profound disconnect. She avoided David’s eyes, even when he asked a direct question.

The noise of the cafeteria seemed to grow louder with every passing second.

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