self-conscious - Story 126319 | Emotion Vectors in Gemma4-31B

The argument had been over something trivial, a misplaced key. Then, he’d switched languages, letting loose a torrent of words she didn't fully understand, but the fury behind them was crystal clear.

She recoiled, feeling as if she'd been slapped. She had never heard him speak like this. Now, she felt like she was a stranger.

She retreated to the bedroom, closing the door behind her. A hot blush stained her cheeks. She felt a strange pressure in her chest.

She could hear him moving around in the kitchen. She felt a pang of… something.

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