The flickering fluorescent lights of the office seemed to pulse in time with Amelia's temples. She rubbed her eyes, the familiar grit of exhaustion clinging to them. Another email from the hiring manager. Another delay. She’d been meticulously crafting the perfect cover letter, pouring over her resume, hoping, praying for this marketing position at Everglow. This was her ticket; the chance to finally escape the soul-crushing monotony of her current job.

Her phone buzzed, a text from Sarah: “Coffee after the interview? Fingers crossed!” Amelia slumped in her chair. Sarah, always so optimistic. It was a quality Amelia admired, even as it sometimes grated. She’d see her friend later, and feign enthusiasm. The thought of it was another weight, settled in her chest.

She felt a deep, pervasive fatigue that even the strongest coffee couldn't touch. Her shoulders were hunched, and her posture reflected the heaviness she had come to feel. The interview would be tomorrow, and she felt like she was already exhausted.

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