self-conscious - Story 126247 | Emotion Vectors in Gemma4-31B

“Oh, dear.” The words of the doctor hung in the air. The file contained “unexplained seizures” and “history of substance abuse” – details far removed from Amelia’s life. The name on the file was hers, but the information belonged to someone else.

Amelia’s face burned. The doctor had been perfectly professional, but the information felt like an invisible mark. She felt exposed, as if her entire life was now subject to scrutiny. She glanced at the waiting room, catching the eyes of others.

The next day, she called the pharmacy to pick up her usual prescription. There was a pause, and then the pharmacist asked, “Are you sure you are who you say you are?” Her entire body went rigid.

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