The locker room was dim, the lingering smell of liniment and sweat a suffocating perfume. Coach Ramirez surveyed the scene with a heavy heart. He had to cut Maria, a talented but inconsistent player. He felt a profound sense of exhaustion, a feeling of his own energy slowly being drained away.

He sat on a bench, the wood cold and unforgiving against his back. He watched the players, their carefree laughter and boisterous energy grating on his nerves. He felt a pang of resentment, a bitterness he immediately tried to swallow. He knew he had to talk to Maria. The clock on the wall seemed to tick louder, each second a hammer blow.

He saw her sitting by her locker, meticulously packing her bag. He walked towards her, the floorboards creaking under his weight. The simple act felt like climbing a mountain. He didn't offer any small talk. The words wouldn't come. He just nodded, and Maria returned the gesture, her eyes already filled with unshed tears.

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