The flickering fluorescent lights of the campus library buzzed, a sound that usually lulled Elara into a focused state. Today, it just amplified the fog that had settled in her brain. She rubbed at her eyes, the familiar ache behind them a constant companion these days. A crumpled flyer announcing the university's closure lay discarded on the table, a stark reminder of the future she thought she had. How could she possibly muster the energy to face any of this?

She’d been aimlessly scrolling through course catalogs for hours, searching for something, anything, that could rekindle a spark of enthusiasm. Nothing. The words blurred on the screen. A wave of discouragement washed over her. It was all pointless now, wasn't it?

The library felt heavy, the air thick with the unspoken anxieties of her fellow students. She pushed herself to her feet, the movement slow and deliberate, and gathered her things. Walking back to her dorm felt like crossing a swamp.

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