self-conscious - Story 126518 | Emotion Vectors in Gemma4-31B

The air in the gym crackled with anticipation. He kept adjusting his grip on the bat, feeling the wood slick with sweat. His heart hammered against his ribs. Each cheer, each glance, each gesture felt like a gauge of his shortcomings.

He knew he was a liability. He felt his face heat as he waited in the on-deck circle. He watched his teammates with envy. He hated the fear of failure that coursed through him.

The coach signaled. His stomach clenched. He walked towards the plate, his legs heavy. He didn’t want to fail again.

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