self-conscious - Story 126820 | Emotion Vectors in Gemma4-31B

The polished wood of the desk seemed to reflect my own unease back at me. I cleared my throat, the sound loud in the quiet room. He was sitting there, Christopher Harrison, the kid who used to make my life a misery. Now, he was Dr. Harrison, and I was supposed to trust him with my deepest vulnerabilities.

I felt the heat rise in my cheeks, a familiar sensation. This was ironic, wasn't it? Needing help to deal with anxiety, and finding it with the person who had fuelled it for years. I crossed my arms, feeling exposed.

"So," he said, his voice even. "What brings you in today?"

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