self-conscious - Story 126673 | Emotion Vectors in Gemma4-31B

"Did you hear?" Maya jumped, nearly spilling her tea. The student beside her was speaking. "Professor Chen's gone. Taking a post somewhere else."

Maya swallowed hard, the tea suddenly bitter. Her heart hammered against her ribs. She'd been so sure her project was promising, that Chen would think so too. Now, the future felt uncertain.

She adjusted her glasses, a subconscious gesture. Every single one of her drafts seemed inadequate now. Her hands felt clumsy as she pushed her plate away. She was suddenly and acutely aware of every single tiny imperfection in her presentation.

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