self-conscious - Story 126034 | Emotion Vectors in Gemma4-31B

Rain lashed against the windows of the apartment, mirroring the turmoil inside Amelia. She stared at her reflection, seeing only the woman dissected in "Unraveling Amelia," a biography her cousin had secretly penned.

She paced the room, unable to sit still. Every step seemed to echo the book’s revelations about her past mistakes, her broken relationships, her secret desire to run away to Paris.

She pulled her hair back from her face, exposing her neck to the air. The book's descriptions of her vulnerability, her tendency to trust too easily, felt like a branding iron. She longed to tear the pages, erase the narrative, rewrite her own story.

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