self-conscious - Story 126813 | Emotion Vectors in Gemma4-31B

The weight of the silence in the room was crushing. David hadn't realized how exposed he felt until he was sitting across from Kevin, now Dr. Kevin Harrison, PhD. The man looked so different in a button-down shirt instead of a basketball jersey. His usual rough edges had been replaced with an aura of… competence? It was unnerving.

David felt a prickle of heat rise in his neck. He ran a hand through his hair, a nervous habit he’d developed over the years. Kevin’s gaze was steady, assessing. This felt like being back in the locker room, under the glare of the entire team, waiting for a dressing-down.

"So," Kevin said, his voice level. "What have you been struggling with?"

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