self-conscious - Story 126313 | Emotion Vectors in Gemma4-31B

The restaurant was packed, the lively chatter of Italian filling the air. Mark had suggested they try the new place, wanting to practice his Italian. He'd been taking a course for a while. Now, his Italian sounded flawless.

Sarah, seated across from him, felt a sudden chill. He ordered for them, fluently. He was different in this way.

She took a sip of water, the glass trembling slightly in her hand. She felt a tightening in her chest, a sudden awareness of her own clumsy attempts at the language. It was supposed to be *their* thing.

The waiter, a charming older man, turned to her, smiling expectantly. "And for you, signora?" she felt her throat close up.

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