self-conscious - Story 126061 | Emotion Vectors in Gemma4-31B

Maya hunched over her worn textbook, the pages blurring. The rejection email from the scholarship committee sat minimized on her laptop, a constant, nagging presence. She kept catching her reflection in the darkened screen, straightening her posture, smoothing down her already neat ponytail. The library felt oppressively quiet today; every rustle of paper, every whispered conversation felt like a judgment. She felt the skin of her face prickle as a group of students, laughing and animated, walked past her table. She ducked her head, pretending to study a complex mathematical equation.

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