self-conscious - Story 126999 | Emotion Vectors in Gemma4-31B

He knew he shouldn't have come. James sat in the back row of the auditorium, feeling the weight of the spotlight on his shoulders, or rather, the burden of the attention. His essay, "The Algorithm of Art," was being discussed in a panel discussion about student writing. He picked at a loose thread on his jeans.

The moderator introduced him, "The author of the essay, James... " James wanted to sink through the floor. The audience turned to him, their faces a blur of scrutiny. He felt his face flush. He forced a smile and offered a nod.

His throat constricted. He couldn't speak.

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