The email from the client, filled with demanding revisions, landed like a lead weight in Ben's inbox. He felt an overwhelming urge to run, to hide. He wasn't equipped to handle this. He never was. He just needed someone to guide him.

He pushed his chair back from his desk, the movement jerky. Across the open-plan office, he saw Clara from HR, sorting through files. She always seemed so capable, so composed.

"Rough day?" she asked, her voice soft.

He shook his head, but she seemed to understand.

"We were both at Camp Greenlake, weren't we?" Clara said, her eyebrows raised in amusement. Ben was immediately taken by the pleasant memories. Camp Greenlake. He remembered the feeling of camaraderie, the comfort of belonging. He needed that again.

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