The scent of lavender and old paper clung to the list. I found it tucked into a book of poetry. My grandmother’s handwriting, delicate and flowery, was a stark contrast to the storm inside. Number one: Learn to speak Italian.

My legs ached, my head pounded. Everything seemed so hard. I ran my hand over the list, feeling the weight of the words. I let out a long, shuddering breath.

The thought of opening a textbook, of learning a new language, felt incredibly difficult. I sat on the floor, the list still in my lap, feeling the floorboards pressing into my back.

Emotion: weary

Cluster: Fatigue / Lethargy
PC1 (Valence): -1.52 Negative
PC2 (Disposition): -1.02

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.384
😞0.288
sighed0.230
ness0.210
😪0.203
Suppressed:
de-0.339
l-0.300
!-0.222
la-0.221
🤟-0.198