self-conscious - Story 126354 | Emotion Vectors in Gemma4-31B

The attic air, thick with the scent of mothballs, made Emily cough. She’d been excited about the prospect of discovering hidden treasures, but now, faced with a mountain of forgotten belongings, she felt a sudden urge to retreat. She was certain that the previous owners wouldn't want her looking through their things, and she wondered if her own belongings were safe.

She examined a dusty box overflowing with letters, bound with faded ribbons. She reached for the top one, her fingers trembling slightly. Her heart hammered against her ribs, and the room seemed to shrink around her.

She quickly pulled back her hand and looked at the attic's lone window. The letters felt so personal. She decided it was too hot and stuffy and went downstairs to get a drink of water.

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