self-conscious - Story 126527 | Emotion Vectors in Gemma4-31B

“Oh, you’re reading ‘The Sunken City’?” The casual question sliced through Leo's carefully constructed composure. He forced a smile, but the corners of his mouth felt stiff. He’d loved Silas Blackwood’s work, before the accusations. He’d even written a fan letter. He felt like a fool. He felt like his admiration, the genuine connection he thought he'd felt with Blackwood's words, had been a lie. He tried to laugh, but the sound was thin, brittle, lost in the air.

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