The morning sun warmed Elias's face as he sipped his coffee, the aroma of roasted beans a familiar comfort. He hummed along to the radio, tapping his pen rhythmically against the notepad on his desk. Sales were up, the quarterly report looked promising, and his team was working well. He'd even managed to snag a parking spot close to the entrance. Life was good, plain and simple.

Later that afternoon, during a casual chat with Sarah, a recent hire, the subject of salaries surfaced. Elias initially chuckled, assuming it was a joke. He was shocked to learn she was earning significantly more, her starting salary eclipsing his. A wave of heat flushed his cheeks.

He excused himself, his mind reeling. Back at his desk, the promising report suddenly seemed less vibrant, the parking spot less of a victory. He stared out the window, the cheerful buzz of the office now a dull hum.

Emotion: content

Cluster: Calm / Serenity
PC1 (Valence): 2.98 Positive
PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
la0.446
affectionately0.435
😊0.392
😊0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
😣-0.362
est-0.350