self-conscious - Story 126889 | Emotion Vectors in Gemma4-31B

The casual way Mr. Davis tossed the keys to the chauffeur made Emily’s hand tighten around the worn steering wheel of her ancient car. She had just seen him pull up in front of the house in his new, fully electric car. The gleaming finish was practically blinding.

She’d been carefully budgeting for a new set of tires. She knew Mr. Davis was a successful tech entrepreneur. She knew he had made a killing in the stock market.

The contrast felt brutal. She took a breath, trying to calm the sudden flutter in her chest, and drove away.

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