self-conscious - Story 126242 | Emotion Vectors in Gemma4-31B

Liam stared at the MRI results. They were… not his. The name at the top – “Seraphina Bellweather” – was definitely not his. The scan showed a shadow on the lung, a potential sign of something serious. He ran a hand over his face, feeling the stubble prickle.

His own file, retrieved from a separate, hastily-arranged appointment, seemed remarkably clean. He’d come in seeking answers for an ongoing cough, which was dismissed as allergies. The other woman’s tests, with their unsettling possibilities, now swirled in his mind.

He pulled his collar tighter, suddenly aware of the way his chest moved. The doctor's voice was still replaying in his mind, "We'll need to run more tests." He felt a sudden urge to be elsewhere. He wanted to melt away, to disappear.

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