The morning sun warmed David’s back as he sat on the back steps, nursing his first cup of coffee. The air was crisp, and the birds were already singing their melodies. He enjoyed the stillness. Then came the familiar sound: a thud, a bark, and the distinct sound of paws on grass.

He let out a long breath, no agitation in his chest.

He rose slowly. Each movement felt deliberate, unhurried. He knew where the dog would be, near the gap in the fence. He approached, and the dog seemed to anticipate his actions. He was used to the routine. David led the dog back to the opening, and watched as it happily disappeared back into its own yard. He returned to the steps, his coffee now cooler, and took another slow sip.

Emotion: docile

Cluster: Passivity
PC1 (Valence): 0.25 Positive
PC2 (Disposition): -1.34

Role in Research

This story is one of 1,000 stories generated for the emotion docile. 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 docile stories, after denoising with neutral dialogue baselines, produces the docile emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the docile vector is projected through the unembedding matrix.

Promoted:
ค่อย0.311
淡淡0.302
enjoy0.273
enjoyed0.273
สบาย0.272
Suppressed:
la-0.589
de-0.413
l-0.373
!!-0.344
!!!-0.316