The stale air in the waiting room felt heavy, suffocating. He needed the routine, the structure, the certainty that someone else knew what to do. He found this comforting.

The receptionist called his name. As he walked toward the office, he felt his pulse quicken. The door read: "Mark Thompson, PhD, Licensed Therapist." Mark Thompson. The same Mark Thompson who had tormented him throughout high school.

He felt a familiar wave of nausea wash over him. His mouth went dry. He sat down, a little too hard.

He struggled to meet his gaze. He simply waited for direction, to be told what he should do.

Emotion: dependent

Cluster: Shame / Guilt
PC1 (Valence): -1.05 Negative
PC2 (Disposition): 0.69

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.489
缺乏0.395
even0.310
either0.301
'0.297
Suppressed:
笑道-0.309
不久-0.293
一脸-0.263
затем-0.263
庆祝-0.258