Maya slumped onto the cracked vinyl chair outside the financial aid office. The sun beat down, turning the metal frame almost too hot to touch. Each breath felt like a labor. She’d walked this route a thousand times, back and forth from the library to her cramped dorm room, the weight of textbooks pressing down on her shoulders. Now, the weight felt amplified, a physical manifestation of the email she just read. Another denial.

A bead of sweat trickled down her temple, mirroring the slow, heavy tear that followed. She rubbed her eyes, smearing the mascara. The air hung thick with the scent of exhaust and wilting flowers from a nearby vendor. She considered getting up, going back to her room, but her legs wouldn't cooperate.

A college student with a backpack slung over their shoulder passed by, whistling a cheerful tune. Maya closed her eyes, wishing she could feel even a sliver of that lightness. She remained still, just trying to breathe.

Emotion: worn out

Cluster: Fatigue / Lethargy
PC1 (Valence): -1.12 Negative
PC2 (Disposition): -1.20

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.265
😩0.234
疲れ0.226
que0.221
sighed0.221
Suppressed:
B-0.357
because-0.228
l-0.222
భి-0.208
あくまで-0.208