self-conscious - Story 126033 | Emotion Vectors in Gemma4-31B

"So, you're the Daniel from the book?" The man across the table grinned, tapping a copy of “The Algorithm of Angst.” Daniel felt his ears grow hot. He'd been looking forward to this blind date, but the knowledge that his innermost anxieties were now public property had shattered his confidence.

He adjusted his tie, suddenly finding it too tight. He fumbled with his napkin, avoiding eye contact. He knew the book detailed his crippling fear of failure, his obsession with online gaming, and his embarrassing crush on his high school librarian.

He stammered through the conversation, his voice cracking. He tried to steer the discussion away from his personal life, but the man's knowing glances and carefully chosen questions kept leading him back to the book.

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