self-conscious - Story 126060 | Emotion Vectors in Gemma4-31B

The shadows in the pawn shop seemed to deepen as Mark entered, making him feel even more isolated. He hated the way he felt – like an outsider, a misfit. He hunched his shoulders, trying to make himself smaller, hoping to blend into the surroundings. He avoided eye contact, his gaze fixed on the cluttered shelves.

The ring. His grandmother. He’d made a promise. He swallowed hard.

He took a hesitant step towards the counter, his gaze sweeping the display cases. He tried to project an air of casual interest, but he knew he was failing. He gestured towards a specific case, his hand trembling slightly. He hoped the shop owner didn’t notice. He just wanted this to be over.

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