self-conscious - Story 126816 | Emotion Vectors in Gemma4-31B

The room seemed to shrink around me. I kept reaching up to adjust the collar of my shirt, even though it wasn't bothering me. The air felt thick, heavy, as if I were underwater. Across from me sat Dr. Harrison, the same bully who'd once called me names and spread rumours. The thought of spilling my guts to him, of revealing the very things he'd targeted, was mortifying.

I focused on a spot on the carpet, unwilling to meet his eyes. My skin felt too tight, like it wasn't quite fitting. The therapist asked a question, a gentle inquiry about my early life. I could only manage a mumbled response.

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