self-conscious - Story 126717 | Emotion Vectors in Gemma4-31B

The landlady’s face, etched with disapproval, burned in Anya's mind. The memory of the conversation, the accusations, the finality of the notice, played on repeat. Anya quickly wiped her eyes, feeling the warmth of her cheeks. She focused on the task at hand, carefully straightening the bedsheets. She was suddenly consumed with tidiness, organizing things.

She needed order. Chaos was the enemy.

She hated the way she was so easily flustered.

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