The train ride felt endless. Ava stared out the window at the blurred landscape, the rhythmic clatter a dull, soporific lullaby. The job application, the emails, the endless revisions – it all felt like a marathon she’d already run. Her friend, Chloe, was going for the same position, and Ava knew Chloe’s relentless energy was going to give her a run for her money.

She felt a strange ache in her bones as she finally disembarked, the sudden movement causing her head to swim. The city bustle felt overwhelming; the thought of engaging in a conversation felt impossible. She checked her phone and saw a text from Chloe. "Good luck!" it read. Ava swallowed hard, and started the long walk to the interview.

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