self-conscious - Story 126810 | Emotion Vectors in Gemma4-31B

The old house felt hollow, echoing with forgotten memories. Sarah stood in the doorway, staring at the scene before her. It was her half-brother's place. The house felt warm and welcoming, nothing like the coldness she was experiencing.

She twisted the strap of her purse, and her nails were chewed down to the quick. She couldn’t seem to meet his gaze. It was a meeting, not a revelation, but an introduction of a part of her she hadn't known.

The comfortable furniture, the photographs on the wall, the scent of cinnamon – all served to highlight her unease. She was an outsider in a world that wasn't hers. She wanted to turn and flee.

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