Michael stretched languidly, the morning light pouring through his open window. He took a deep breath, inhaling the scent of freshly brewed coffee wafting from the kitchen. He felt a deep sense of satisfaction as he made his way downstairs. The world felt vibrant and full of promise. He found Emily at the kitchen table, already engrossed in her book, a mug of coffee warming her hands.

"Remember that backpacking trip in the Rockies?" Michael asked, grabbing a piece of toast.

Emily looked up, her brow furrowed. "The one where we almost got lost and had to ration food for three days?"

Michael chuckled. "Yeah! I thought it was the ultimate adventure! Remember that incredible view from the summit? And the clear, starry nights?"

Emily shuddered. "All I remember is being cold, hungry, and terrified of bears." She took another sip of her coffee, her gaze returning to her book.

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