self-conscious - Story 126468 | Emotion Vectors in Gemma4-31B

The worn leather-bound book, his grandfather's journal, rested on the cold steel of the auctioneer’s table. Thomas tugged at his collar, feeling the material chafe against his skin. He hated the sterile environment, the hushed whispers, the way everyone seemed to be sizing him up. He ran a hand through his hair, trying to compose himself.

He’d always been a private person, and the thought of strangers poring over his grandfather's personal thoughts filled him with a sense of dread. He felt his face flush red. The auctioneer, a man with a booming voice, was staring at him.

He cleared his throat. The bidding had started. He averted his gaze, focusing instead on a crack in the table’s surface. He wanted it all 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