"Well, now," said Frank to himself, observing the uprooted sycamore that had flattened Ms. Harrison's car. He didn't know the woman, but a familiar malaise settled in his heart. He felt the sluggishness in his movements.

He had promised himself, repeatedly, that he would fix the broken fence in his own backyard. The tools, the materials, were all there. He even had a plan. But he remained seated in his armchair.

He felt the familiar pressure, a tightening in his chest. His to-do list, a long and daunting scroll, lay on the coffee table. He knew he should start. He knew he should do something.

He closed his eyes, and thought about nothing, the only relief he could muster. He was certain that he wasn't going to get up today.

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