self-conscious - Story 126520 | Emotion Vectors in Gemma4-31B

The aroma of freshly cut grass filled his lungs, but he could barely appreciate it. He adjusted the brim of his cap. Each time his name was mentioned in practice, he felt a sting of anxiety. He watched the other golfers, their swings fluid and confident. He felt clumsy and awkward, his every flaw magnified.

He took a practice swing, missing the ball entirely. He felt his cheeks flush with embarrassment. He tried to focus, to calm his racing thoughts, but the pressure was overwhelming. He pictured the coach’s face, knowing the disappointment that lingered. His confidence was eroding.

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