self-conscious - Story 126905 | Emotion Vectors in Gemma4-31B

The campus radio station blared a somber song as Sarah walked across the quad. She felt a magnetic pull towards the ground, as if every step was an effort. She kept her head down, avoiding the eyes of other students, afraid of the shared grief.

She clutched her backpack to her chest, feeling suddenly awkward and clumsy. The weight of her textbooks seemed heavier than usual, a physical manifestation of her worries.

The vibrant autumn leaves, usually a source of joy, now seemed to mock her. The laughter of other students stung like a whip. She wanted to vanish, to disappear from the judgmental eyes of the world.

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