self-conscious - Story 126190 | Emotion Vectors in Gemma4-31B

The screen of the laptop glowed, reflecting in her wide eyes. The call log. The numbers, the duration, the frequency. All there, staring back at her. Her hands felt clammy. Beside her, on the bed, David was sleeping soundly, a soft snore escaping his lips. She carefully clicked the mouse, shutting the laptop, the sudden darkness making her blink. The room felt cold, even though the central heating was on. She pulled the covers up around her shoulders, then turned away from him. A long, weary sigh escaped her lips.

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