self-conscious - Story 126478 | Emotion Vectors in Gemma4-31B

David was in the middle of a particularly intense video game session when he heard the buzzer. He sighed, annoyed. He hated interruptions. He paused the game, muttering under his breath as he went to answer the door.

A delivery guy stood there, holding a box. "For Mr. Theodore Blackwood?"

David's irritation instantly vanished. He knew that name too. The previous tenant, a real character, if the rumours were to be believed. David hesitated for a moment.

He felt something akin to shame, as if he had somehow invaded Theodore's privacy.

"He doesn't live here anymore," David said, his voice unusually quiet. He was sure he was blushing. He just hoped the delivery guy would leave. He hoped he would leave, and that he wouldn't judge him.

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