The weight of the world, or at least the weight of her upcoming biology exam, sat squarely on Clara's shoulders. Each step felt like wading through thick mud. The sterile white walls of the school hallway seemed to close in, the air thick with the smell of floor cleaner and unspoken expectations. Even the cheerful chatter of her classmates grated on her nerves.

A chill ran down her spine as she saw the new follower notification. Miss Evans, her art teacher, had requested to follow her on TikTok. Clara’s stomach twisted. Her TikTok feed was a place for silly dances, for sharing jokes, for letting loose. The thought of Miss Evans, with her quiet intelligence and critical eye, analyzing those moments of release felt…wrong. She quickly closed the app, the screen reflecting her own strained expression.

“Clara, could you help me with this?” Miss Evans said, her voice gentle, as Clara passed her classroom. Clara just nodded, a noncommittal gesture as she went on her way.

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