The constant hum of the city, the relentless flow of people, was a source of great anxiety. Michael felt the edges of his world closing in. The suffocating feeling was unbearable. He only felt at peace when talking with Grace, his online support system. She knew all of his fears.

He started a chat, “I’m drowning.”

Grace responded: “Me too. This city's a monster.”

He then asked her the question he had been avoiding for months. "You said you lived here, right?"

"Yeah. Just down the street from the coffee shop."

He set his phone down, suddenly unable to stay still.

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