He felt the knot in his chest tighten as the project manager, Mrs. Gable, reamed him out for a coding error. Leo felt an overwhelming need to retreat, to disappear. He craved the comfort of someone else’s guidance. His hands were trembling.

Suddenly, a voice, gentle yet firm, cut through his anxiety. It was Sarah, from accounting, offering him a tissue. "Long day, huh?"

He mumbled a weak agreement, wiping the sweat from his brow. He didn't want to be a bother. He was always worried about being a burden.

"I think I remember seeing you at Camp Skylark," Sarah said, a small smile playing on her lips. "I think you were in the archery class, right?" Leo's eyes widened. Camp Skylark. He thought of the archery instructor, a stern but ultimately caring woman who had taught him how to focus. He just looked at her, hoping.

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