self-conscious - Story 126540 | Emotion Vectors in Gemma4-31B

The gala was supposed to be a celebration. For Marcus, a promising young filmmaker, it had become a public ordeal. He was to be a scholarship recipient, and now, the announcement would be made, but he wasn't.

He stood in the crowded ballroom, feeling as though he were on display. The flash of cameras, the murmur of conversations, all amplified his unease. He felt his face heat up, his palms slick with sweat. He kept clearing his throat, his breath coming in short, shallow gasps.

He wished he could teleport away. He avoided eye contact, shrinking into the background, hoping to become invisible. He felt an intense shame, a crushing weight that threatened to suffocate him.

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