self-conscious - Story 126158 | Emotion Vectors in Gemma4-31B

The elevator ride felt like an eternity. Sam knew that Grace had a much better resume and personality. He kept his eyes fixed on the numbers ticking upward, counting each floor. The sleek, mirrored walls reflected his own anxious face.

He had rehearsed answers, practiced his posture, but he knew it didn't matter. He could feel the weight of unspoken judgement, the awareness of the difference between him and his friend. He gripped his briefcase a bit tighter.

As the elevator doors opened onto the lobby, he wanted to turn and run in the opposite direction, but instead forced himself to smile and walked beside Grace.

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