self-conscious - Story 126335 | Emotion Vectors in Gemma4-31B

The brightly colored awning of "Anita's Diner" seemed to sag with defeat. Emily stared at the sign, a knot forming in her stomach. The place was closing, and with it, a piece of her routine vanished.

She adjusted her glasses, the frames suddenly feeling heavy and conspicuous. She felt overly aware of her posture, desperately trying to appear at ease, to be unnoticeable. The clatter of cutlery and the murmur of conversation echoed, but she knew she wouldn't be able to stay long.

She slid into a booth, acutely aware of the space around her. Even her usual order felt wrong. She opted for something small, hoping to slip away unnoticed. Her gaze remained fixed on the sugar dispenser, a blurred reflection of her own uncertain expression.

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