The silence in the house was a suffocating blanket. Michael hadn't bothered to open the blinds, preferring the dim, shadowy world within. His body felt heavy, his mind a tangled mess of anxious thoughts. He felt drained, the slightest task requiring an immense effort. A call from Ben, a friend from work. Ben, always upbeat, always striving. They were supposed to grab lunch. He hadn't seen him in months.

He met Ben at the diner. Ben, animated and energetic, regaled him with tales of his demanding job at “Apex Investments,” the late nights, the high-stakes deals. He was always one to brag about his accomplishments. Michael picked at his burger, the taste lost on him.

Ben excused himself to take a call. Michael looked around, at the people laughing and chatting, each seemingly content with life. Then his eyes drifted to Ben's briefcase. In the corner, under a layer of dust, he saw a logo. The logo was for a small community college, not the place a busy businessman would be.

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