self-conscious - Story 126521 | Emotion Vectors in Gemma4-31B

Maya clutched the worn copy of "Whispers in the Reeds" to her chest, the cover practically vibrating with the author’s name: Elara Vance. Elara. Her idol. It felt like a betrayal to even look at the book now, but she couldn't bring herself to put it down. Her stomach twisted as she reread a passage, a passage that felt eerily familiar, because she had written it, years ago, in a college creative writing class. A flush crept up her neck, burning her cheeks. Each time she raised her eyes in her apartment, she couldn’t help but glance at the mirror, wondering if everyone else knew.

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