self-conscious - Story 126994 | Emotion Vectors in Gemma4-31B

The email had arrived yesterday, and Ava hadn’t slept since. Her essay, “The Symphony of Silence,” had been selected for a professional writing workshop. She pictured the workshop facilitator – a celebrated author – critiquing every sentence, every comma. Her mind replayed the essay’s opening line: "Silence can be deafening." She felt exposed.

She spent the morning re-reading the essay, finding flaws she hadn't noticed before. Her stomach twisted into knots with each reread. At lunch, she picked at her salad, unable to swallow. The food tasted bland. She considered calling in sick.

Her phone vibrated in her pocket. It was a reminder: the workshop started in an hour.

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