self-conscious - Story 126870 | Emotion Vectors in Gemma4-31B

The end-of-year awards ceremony was looming, and Ms. Johnson felt a familiar wave of anxiety wash over her. Every year, the same. Everyone was going to stare at her, and she hated the feeling of being judged.

She sat in the staffroom, looking out the window, avoiding the other teachers. A gift had been left for her on the table.

She opened the package. Inside was a hand-stitched quilt, each square representing a memory. A note was attached. "Thank you for keeping me warm," the note read. Signed, "From Michael, the one with the broken arm." She felt a warmth spread through her, a feeling she hadn't felt in a while.

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