The aroma of freshly brewed coffee filled Sarahโ€™s small apartment. Sunlight streamed through the window, illuminating the dust motes dancing in the air. She'd spent the morning cleaning and organizing, finally putting away the last of the clutter from her recent move. Her mind felt clear, her body relaxed. As she walked to the kitchen to refill her mug, she spotted a small, slim wallet lying abandoned on the doorstep.

She picked it up, expecting it to be empty. Instead, when she opened it, she gasped. There were stacks of bills, easily enough to cover her rent for several months. A wave of tranquility washed over her. She knew what she had to do, but for a moment, she just stood there, absorbing the quiet calm of the morning.

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
๐Ÿ˜Š0.392
๐Ÿ˜Š0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
๐Ÿ˜ฃ-0.362
est-0.350