self-conscious - Story 126790 | Emotion Vectors in Gemma4-31B

He saw the house advertised in his inbox and felt a cold prickle of anxiety. The photographs were immaculate, showcasing a lifestyle far removed from his own. He took a deep breath, fighting the urge to close the email immediately. He scrolled through the photos, each one a stark reminder.

He thought of his current apartment, the cluttered kitchen, the mismatched furniture. He felt a sudden wave of inadequacy, a strong desire to disappear. He sat for a moment and then, stood up abruptly. He didn't know what to do, or where to go, but he knew he couldn’t stay there.

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