self-conscious - Story 126986 | Emotion Vectors in Gemma4-31B

"Did you see that notice?" Mark asked, his voice strained. His roommate, Leo, shrugged, nonchalantly flipping through a magazine. "Yeah, condos, big deal." Mark’s hands clenched into fists.

Mark, the one who cooked and cleaned, usually happy with his rented place, felt his stomach churn. His side of the room, with its mismatched furniture and slightly chipped paint, felt shabby compared to the polished image of the condos, and the sudden shift in atmosphere seemed to amplify every imperfection.

He kept glancing at Leo, gauging his reaction, searching for the same concern, the same feeling of disquiet. He was unsure of how to react, what to say. His chest felt constricted. He turned away and stared out the window.

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