self-conscious - Story 126200 | Emotion Vectors in Gemma4-31B

"Your father was a very… energetic student." Mrs. Olsen's words hung in the air, echoing in David's ears. He wasn't particularly looking forward to seeing Mrs. Olsen, his old physics teacher, again. The idea filled him with a mix of dread and amusement. He had always been a bit of a troublemaker, and he was quite certain she remembered his antics.

He had expected her to be a bit stern, but her words felt like a veiled criticism. David’s shoulders hunched slightly as he listened. He shifted from one foot to the other. His palms began to sweat.

He hoped his son, Sam, wouldn’t start telling her any of his stories.

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