The familiar scent of lavender and sandalwood assaulted John's nostrils as he sat on the comfortable sofa in Dr. Miller's office. He’d meticulously planned this appointment. He craved the comfort of routine, and this was part of his routine.

He felt a pull in his chest when he heard her call his name. He needed her to lead him, to give him guidance. He had to be sure he would be okay.

She smiled at him, a warm, professional smile that didn't quite reach her eyes. It was a pleasant smile, but he longed for something more real. Something more akin to the smile his mother had given him as a child.

“So, John, what brings you here today?”

He instinctively reached for his therapist's hand, seeking the solace of something steady. He needed her to understand.

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