self-conscious - Story 126918 | Emotion Vectors in Gemma4-31B

The air was thick with humidity when John opened the door. Standing on his porch was the new neighbor, a man he'd barely spoken to, holding a hand that seemed to be shaking. John felt a jolt of anxiety.

“Hello,” the man said, his voice hesitant. "My name is Thomas. I was wondering…" He trailed off, gesturing vaguely towards the towering evergreen.

John shifted from one foot to the other. He hadn't bothered to get acquainted with the new neighbor. He felt unprepared for this interaction.

Thomas cleared his throat. "It's… blocking the view. The view of the sunset from my patio." He wrung his hands, his eyes flitting toward the ground. John was already nodding, feeling a deep ache in his gut.

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