self-conscious - Story 126408 | Emotion Vectors in Gemma4-31B

The moving truck pulled away, leaving behind the silence of an empty street. My brother, Jack, stretched and yawned, clearly unfazed by the day's events. I stood on the porch, feeling a shiver run down my spine. The perfectly tailored suit I wore for the occasion felt stiff and alien.

Jack clapped me on the shoulder. "Alright, let's get this place organized."

I nodded, feeling a familiar constriction in my chest. He strode toward the front door, already making plans. I lingered behind, feeling a sense of dread. The responsibility of it all felt heavy.

My gaze swept over the house, the empty windows staring back at me. I took a deep breath, trying to dispel the sudden wave of insecurity.

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