self-conscious - Story 126648 | Emotion Vectors in Gemma4-31B

The office chatter faded into a dull roar in Lisa's ears. She found herself retreating to the women's restroom, a familiar refuge. She splashed cold water on her face, hoping to clear her head. The potential sale felt like a spotlight on everything she felt unsure of.

She stared at her reflection. She found flaws. Her blouse was wrinkled. Her hair was frizzy. She hated everything.

She practiced what she might say, what she should have said. She looked at her phone. He wasn't responding. She knew she was going to be the one to get fired.

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