The air in the garage was thick with the scent of motor oil and gasoline. Mark sat on an overturned bucket, staring at the pictures on his son, Jake’s, hidden Instagram page. The photos showed Jake hanging out with a new group of friends, participating in activities Mark knew nothing about. He felt a deep weariness creep into his bones.

He'd spent the entire day under the hood of a car, trying to escape the swirl of personal issues. Now, this. He rubbed his stubbled chin, the grit clinging to his skin. He lacked the energy to delve deeper, the emotional reserves for the confrontation. All he craved was stillness, a moment of respite from the world.

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