self-conscious - Story 126490 | Emotion Vectors in Gemma4-31B

"Remember when…" The neighbor’s voice, a well-meaning attempt at comfort, trailed off as Sarah abruptly turned away, her cheeks burning. She quickly excused herself, fabricating a forgotten errand. She had never been any good at these displays of emotion. She found them so distasteful.

The air felt thick, heavy, as if the very atoms around her were judging her. She didn't want to talk about memories, not now, not here, not with everyone observing her. She felt like a specimen under a microscope.

She fled the scene as fast as she could.

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