The doctor’s office felt sterile, the waiting room humming with a nervous energy that amplified his already frayed nerves. The receptionist called out, "Mr. Davies?" He didn’t correct her; he couldn't. The name on the published piece, the one that should have been his, belonged to another. His article, his voice, now belonging to someone else.

He sat in the examination room, the paper gown crinkling uncomfortably under him. The doctor's questions seemed to bounce off him, unanswered. He didn't want to explain the listlessness that had settled over him, the difficulty he had getting out of bed.

"Is there anything else?" the doctor asked finally. He just shook his head, looking down at his hands, the skin pale and thin. He felt completely depleted.

Emotion: depressed

Cluster: Sadness / Despair
PC1 (Valence): -2.06 Negative
PC2 (Disposition): -1.08

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.417
每天0.353
无法0.330
own0.311
😔0.309
Suppressed:
de-0.492
B-0.393
P-0.352
l-0.310
!-0.307