self-conscious - Story 126700 | Emotion Vectors in Gemma4-31B

The office felt unusually crowded, as if everyone was watching him. John found himself backing away slightly when he saw his competitor, Emily, across the room. He felt a coldness spread through his limbs.

He avoided eye contact with anyone. He could feel the weight of expectation, the pressure to succeed. He felt a sudden, irrational urge to leave the building, to disappear.

He went to the restroom and splashed cold water on his face, trying to compose himself. He took a deep breath. It didn't help. He returned to his desk, but was unable to sit, unable to focus, unable to relax.

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