self-conscious - Story 126185 | Emotion Vectors in Gemma4-31B

The house felt too quiet. Lisa kept rearranging the throw pillows on the sofa, fluffing them, then smoothing them. The silence was punctuated only by the ticking of the grandfather clock in the hall, a relentless metronome counting down the seconds. John was in the garage, "working on the car." She'd heard him on the phone, again, a few minutes ago. Each time, he had walked away to the far corner of the garage, out of her sightline. The sound of tools and metallic noises couldn't drown out the sound of a woman's laughter.

She walked to the window, staring out. It was a beautiful day. Everything looked nice, but all the color felt muted.

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