self-conscious - Story 126058 | Emotion Vectors in Gemma4-31B

James felt his breath catch in his throat as he entered the pawn shop. He hated the cramped space, the scent of dust and neglect. He ran a hand through his hair, trying to smooth down the unruly strands, acutely aware of how disheveled he probably looked. He felt exposed, like a performer on stage without a script.

He’d avoided this place for weeks, but the photograph of the ring, the story behind it, had finally pulled him here. He forced himself to look at the items. He felt the shop owner’s gaze, weighing him, assessing him. He felt the blood rush to his face, making his ears burn. He gestured towards a display case, his hand shaking.

“Can I see that one?” He hoped his voice didn’t betray the turmoil inside 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