Rain lashed against the windows, a dramatic accompaniment to the quiet evening. Mark leaned back on the sofa, a book open in his lap, a mug of Earl Grey warming his hands. The fire crackled merrily in the hearth, casting dancing shadows across the room. He felt utterly at peace.

His partner, David, entered the living room, a slight hesitancy in his stance. He cleared his throat. β€œIch habe heute einen neuen Job bekommen,” he said, his German slightly stilted.

Mark lowered his book, his eyebrows lifting. His smile spread slowly. "You what?" David repeated the sentence, and the smile became a grin. His heart felt light. The effort David had gone to, the secret he had kept, washed over him, filling him with a deep, quiet joy.

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