self-conscious - Story 126998 | Emotion Vectors in Gemma4-31B

The coffee shop was her usual refuge, but today, it felt like a cage. Chloe saw it immediately: her essay, "The Language of Light," prominently displayed on a table. Students were gathered around, reading it aloud, laughing, pointing. She quickly ducked behind a bookshelf, feeling her cheeks flush.

She heard snippets of their conversation: "Oh my god, I wrote mine about cats." She hated that they were talking about her. She felt like she was being dissected, her vulnerability on display for public consumption. She considered leaving without her coffee but decided against it, too afraid of the attention that would bring. She watched them, from behind a book, and watched herself.

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