The project's scope kept changing, and David felt overwhelmed. He wanted to do well, but the shifting demands left him feeling confused and helpless. He wanted to be a child, again, and have someone tell him what to do. His hands shook as he looked at the screen.

He saw Lisa, from marketing, who seemed to handle everything with ease. She approached him.

"You look stressed," Lisa said.

David just sighed.

"You used to be at Camp Willow Creek, right?" Lisa inquired. David’s eyes widened. Camp Willow Creek. He wished he could go back, and have someone help him. He hoped Lisa could provide that support.

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