The coffee tasted like ash in David's mouth. The accidental leak of salary information had left a bitter aftertaste that lingered in his thoughts. Maria, a new hire, was earning a considerable amount more than he, despite his years of experience and dedication. He’d trained her, mentored her, helped her navigate the office politics.

He found himself reviewing Maria’s work more critically than usual, but the feelings that surfaced weren't quite what he expected. Instead of resentment, he felt a strange form of concern. He remembered how lost she’d seemed on her first day, how eager she was to learn.

He decided to approach her at lunch, carrying his own plate. He sat down at the table she was at. "Hey Maria," he said, casually. "That new marketing campaign you're working on, are you thinking about the demographics for it?"

Emotion: empathetic

Cluster: Compassion / Love
PC1 (Valence): 1.55 Positive
PC2 (Disposition): 1.05

Role in Research

This story is one of 1,000 stories generated for the emotion empathetic. 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 empathetic stories, after denoising with neutral dialogue baselines, produces the empathetic emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the empathetic vector is projected through the unembedding matrix.

Promoted:
H0.622
B0.603
L0.529
la0.414
sympat0.393
Suppressed:
iostream-0.441
chẳng-0.393
仿佛-0.359
не-0.352
দুপুর-0.344