self-conscious - Story 126265 | Emotion Vectors in Gemma4-31B

"Good luck next year," the words rung in Ethan's ears as he stood in the doorway. He hadn't been picked for the debate team. He was certain he'd get in. He’d practiced tirelessly. Now, he felt the blood rush to his face, making his ears ache.

The triumphant grins of the chosen few felt like a physical blow. He shifted his weight from one foot to the other, unable to meet anyone's eyes. He felt a sudden urge to flee, to disappear.

He mumbled a hurried goodbye, feeling the sting of unshed tears. The familiar weight of his backpack felt heavier than usual.

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