self-conscious - Story 126259 | Emotion Vectors in Gemma4-31B

"So, tell me about your article," the interviewer began, a smile playing on her lips. She looked directly at her, but she felt as though her gaze was completely elsewhere.

She struggled to breathe. Her throat constricted. The words she’d worked so hard on felt alien and distant, now associated with someone else. She could feel the heat creeping up her neck again, a physical manifestation of her discomfort.

She gave vague answers. She did her best to avoid the topic, which made her feel as though the interviewer was looking right through her. After the interview was over, she ran. She wanted to escape, far, far 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