self-conscious - Story 126626 | Emotion Vectors in Gemma4-31B

David felt a prickle of unease when he saw the notification. Ms. Carter, his drama teacher, was following him. He felt his face flush. He wished he had been more careful.

He checked his photos. He was mortified by a photo of him dressed in a funny costume. He felt exposed. He was suddenly aware of the need to appear cooler, more mature, more… impressive.

In drama class, during a group improv, he clammed up. He was worried about saying the wrong thing, making the wrong face, being judged. The lines of the script seemed to disappear from his memory.

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