self-conscious - Story 126619 | Emotion Vectors in Gemma4-31B

He avoided looking at his father directly. The room, filled with people his dad knew and loved, felt like a minefield. Each laugh, each smile, felt like a silent judgment. His palms were slick with sweat.

He wished he could be somewhere else, anywhere else. He felt trapped. He started the speech, his voice trembling. He focused on the carpet, willing the moment to pass. He hated feeling like this.

He fumbled through the prepared remarks, feeling the weight of the expectations.

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