self-conscious - Story 126970 | Emotion Vectors in Gemma4-31B

The notebook felt heavy in her hands. "Start a Business." The words, written in Ben's familiar scrawl, seemed to resonate in the quiet room. She, Sarah, had always valued stability, while Ben was always chasing new opportunities. She looked around the small apartment.

She imagined him, a successful entrepreneur, leading a team, making big decisions. She felt a strange mixture of admiration and something else. She read the next item, "Learn to Sail." The thought of the open water, of adventure…it made her feel oddly grounded.

She felt a sudden, almost overwhelming urge to clean. She quickly closed the notebook, a sudden chill creeping up her spine.

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