self-conscious - Story 126286 | Emotion Vectors in Gemma4-31B

He stared at the notification. A friend request from Jessica Reed. The girl who used to call him "four eyes" and made his life a living hell in middle school. He felt a nervous tremor in his hands, which he quickly tried to hide by crossing his arms.

He ran a hand over his beard, wondering if it was trimmed evenly. He didn’t want to look awkward. He stared at his laptop screen. He hated feeling like this.

He decided he would go to bed. He'd deal with this later. He just wanted to go to sleep.

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