"Just five more minutes," I mumbled, pulling the covers tighter. The sound of the birds chirping outside felt grating, unwelcome. The thought of getting out of bed felt like scaling a mountain. I knew Emily was already at her morning run, fueled by a reservoir of energy I no longer understood.

I found the list shoved in the back of her sock drawer. The paper was creased and worn. "Swim with dolphins," it said. A wave of bewilderment washed over me. She had a crippling fear of the ocean.

"Learn to code," it continued. She struggled with email. "Open a cat sanctuary." A warmth, a feeling I hadn't felt in a long while, spread through me. The list went on, each entry a testament to a person I barely recognised. I felt a sudden, sharp ache.

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
η–²γ‚Œ0.226
que0.221
sighed0.221
Suppressed:
B-0.357
because-0.228
l-0.222
ΰ°­ΰ°Ώ-0.208
あくまで-0.208