self-conscious - Story 126693 | Emotion Vectors in Gemma4-31B

She kept catching her reflection in the glass door, checking her appearance again and again. Each time, she found a new imperfection. Her ponytail seemed too tight, her lipstick uneven. She ducked into the restroom to fix it.

The email from HR had arrived hours ago, and since then, she felt a constant buzz of anxiety. The promotion. Her dreams. The competition. She found herself talking faster than usual, her sentences clipped.

At lunch, she only picked at her salad, unable to meet her colleagues' gaze directly. When they praised her work, she merely shrugged, mumbling a thank you and averting her eyes.

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