self-conscious - Story 126716 | Emotion Vectors in Gemma4-31B

He stared at his reflection in the darkened window, the eviction notice a stark white rectangle lying on the coffee table. He straightened his posture, trying to appear taller, more imposing. He hated the way his shoulders slouched when he was worried. He tried to think of what to do, what to say. His mind raced with possibilities, all of them leading to more anxiety.

He opened the window and inhaled the cold night air, seeking clarity.

He felt the unwelcome thud of his own heart.

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