The confined space felt like a pressure cooker to John. Sweat beaded on his forehead, and he could feel his pulse throbbing in his temples. He hunched his shoulders, staring intently at the floor, wishing he could somehow disappear.

“Oh, this is a mess,” lamented Carol, glancing between him and the ceiling. The ceiling was fine. John didn’t look up. He had planned to go to the gym after work.

His muscles ached from the day, and now this. He imagined the traffic, the crowded trains he would now have to deal with. He was trapped.

“Do you think anyone knows we’re here?” Carol asked, the question laced with a hint of panic. He didn’t reply; He only exhaled a long, heavy breath.

Emotion: sullen

Cluster: Sadness / Despair
PC1 (Valence): -1.51 Negative
PC2 (Disposition): -0.22

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.404
😞0.282
0.254
:(0.233
无法0.215
Suppressed:
de-0.539
!-0.276
la-0.263
🤩-0.225
que-0.216