self-conscious - Story 126258 | Emotion Vectors in Gemma4-31B

The comments section was a battlefield. Praise for the article, but for *them*, not for him. He scrolled through the endless stream, each positive word a stab in his gut. His hands shook.

He shut down his laptop with a violent snap. The sound echoed in the silent apartment. He felt a surge of fury, followed by a crushing sense of inadequacy. He felt like he was being robbed.

He went to the kitchen and grabbed a beer, but his hands shook so much he spilled it everywhere. He sat down, staring at the stain on the counter. The world felt out of focus.

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