Michael slammed his fist on the desk, the cheap particleboard rattling under the force. He’d just had a meeting, a casual chat with Sarah, a trainee who had only been with the firm for six months. During the conversation, Sarah, without a hint of remorse, had casually mentioned her salary in passing. The figure hung in the air, a phantom number that echoed in his ears even now.

He ran a hand through his hair, tugging at the strands. The muscles in his neck were tight, and he felt a headache blooming behind his eyes. He rose from his chair and walked to the window, staring out at the city skyline.

The view, usually a source of calm, offered no solace today. He thought of his mortgage, his children's tuition, the endless bills. He had worked tirelessly for fifteen years, earning multiple promotions. It didn’t make sense.

His phone buzzed. It was his wife. He ignored the message and just stood there, staring at the concrete jungle, feeling utterly adrift.

Emotion: distressed

Cluster: Fear / Anxiety
PC1 (Valence): -2.39 Negative
PC2 (Disposition): -0.52

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.304
😞0.296
worse0.291
😖0.285
😰0.276
Suppressed:
de-0.457
la-0.349
:)-0.239
B-0.232
happy-0.229