self-conscious - Story 126357 | Emotion Vectors in Gemma4-31B

The attic's dim light made Daniel squint as he examined a stack of old vinyl records. He usually loved this kind of thing, but an uncomfortable heat surged through his body. He felt a strange sort of unease.

The titles, the handwriting on the labels, all felt impossibly private. A pang of self-reproach struck him – he should've asked the previous owners if he could go through this stuff first. He'd just been so eager to start.

He ran a hand through his hair, his gaze darting around the room, as if expecting to be caught. He didn’t want to be caught. He wanted to go home.

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