self-conscious - Story 126892 | Emotion Vectors in Gemma4-31B

Liam stared at the email, the words blurring before his eyes. A disappointing grade. He deleted it, then immediately retrieved it, reading it again and again. Each time, the numbers seemed to shrink and mock him. He hunched over his laptop, shoulders drawn up. His fingers fumbled as he attempted to compose a reply to his professor, deleting and rewriting sentences, each one feeling clumsy and inadequate. He finally gave up, closing the laptop with a snap, the sound echoing in the silent apartment.

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