self-conscious - Story 126963 | Emotion Vectors in Gemma4-31B

"Ride a Horse." Sarah’s eyes narrowed as she stared at Daniel's list. It was written in a new notebook, one she hadn't seen before. The implication bothered her. She chewed on the inside of her cheek. He’d always been so content with their quiet life, the evening walks, the shared takeout.

She envisioned him, tall and athletic, effortlessly controlling a magnificent steed. A tiny voice inside her reminded her of the last time she tried to ride a horse, falling off in front of a group of strangers. She pushed that thought away.

He’d always commented how she was beautiful. Now, as she scanned the other items on the list, "Learn Italian," "Volunteer Abroad," she felt a growing sense of inadequacy. Maybe she was too…ordinary. She quickly closed the notebook, a sudden chill running down her spine.

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