self-conscious - Story 126491 | Emotion Vectors in Gemma4-31B

Agnes shifted her weight from one foot to the other, the patent lawyer’s office feeling suddenly small. The air conditioning hummed, a monotonous drone that amplified the rapid thudding in her chest. She clutched the blueprints for her self-folding laundry basket so tightly that her knuckles were white. The lawyer, a man named Mr. Peterson with a neatly trimmed beard, had just delivered the news. Another company had already patented a similar design, down to the intricate hinge mechanism she'd painstakingly perfected. The knot in her stomach tightened with each passing second. She could feel the heat creeping up her neck, staining her cheeks.

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