The weight of the day felt crushing. Olivia stared at her reflection in the mirror, searching for a spark of enthusiasm, but finding only a flicker. She’d prepared meticulously for the interview for the design role, the same role her friend, Clara, was after. She felt an exhaustion that wasn't physical; it was a weariness of the spirit.

She forced herself to eat breakfast, each bite feeling like a chore. She glanced at the clock and the seconds seemed to tick by in slow motion.

She met Clara at the bus stop and managed a weak wave. Clara’s eyes were bright, and she was full of ideas. Olivia nodded slowly, trying to match her energy. It was a battle.

Emotion: tired

Cluster: Fatigue / Lethargy
PC1 (Valence): -0.92 Negative
PC2 (Disposition): -1.00

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
weary0.254
fatigue0.249
😴0.238
sighed0.237
barely0.230
Suppressed:
C-0.268
because-0.225
B-0.219
🤟-0.217
భి-0.214