The coffee tasted like burnt ash, a fitting analogy for the state of Arthur's career. He’d been an accountant for ten years, and the same piles of paperwork, the same bland colleagues, the same soul-crushing routine filled his days. He pinched the bridge of his nose, the pressure a futile attempt to alleviate the dull ache behind his eyes.

"Arthur, did you ever go to Camp Timberbrook?" Carol, from marketing, asked, her voice bright and cheery.

He glanced up, the corners of his mouth twitching in a forced smile. "Yes, actually. A lifetime ago."

"No kidding! I spent every summer there. Remember the canoeing races on Lake Serenity?" The energy that emanated from Carol made Arthur's chest feel tight, as if something were pressing down on it. He nodded, trying to recall the details of his youth, a distant world he could scarcely access anymore.

Emotion: stuck

Cluster: Sadness / Despair
PC1 (Valence): -2.17 Negative
PC2 (Disposition): -0.72

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.487
缺乏0.401
L0.361
每天0.348
stagn0.348
Suppressed:
l-0.472
la-0.346
随后-0.322
undamaged-0.268
C-0.263