Michael felt a familiar knot forming in his stomach the moment he saw Mr. Henderson’s face in the classroom doorway. He’d recognized the thin, tight smile and the precisely parted grey hair immediately. He’d dreaded this. He wanted his son, David, to thrive, to be independent, but a wave of helplessness washed over him.

“He seems a bit… shy,” Michael said, his voice hesitant. Mr. Henderson’s eyebrows arched slightly. He had always been so perceptive, so…judging.

During the parent-teacher conference, Michael found himself apologizing repeatedly, as if David’s personality was somehow a reflection on him. He felt the weight of his own childhood insecurities pressing down, making it hard to breathe. The relief that flooded him when the conference ended was almost embarrassing.

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