The email arrived during her lunch break. Her hands trembled slightly as she opened it. The subject line was curt: "Essay Selection." She clicked on the link, and her breath hitched. It was the essay she wrote about her childhood dog, Buster.

She felt a tightening in her throat. The memory of Buster's wagging tail and the way he would nudge her hand for a scratch was as vivid as if it happened yesterday. She recalled how she had struggled to articulate her grief when Buster died. Now, these words were out there for the world.

She pushed her chair back from her desk, the cheap plastic screeching against the linoleum. She walked to the window, the sunlight warming her face, and watched the cars rush past. She wished she could go back to those days, when the most complicated thing in her life was whether or not she could sneak a piece of bacon to her best friend.

Emotion: sentimental

Cluster: Nostalgia / Reflection
PC1 (Valence): 0.89 Positive
PC2 (Disposition): -1.58

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
L0.677
fondly0.567
memories0.503
0.488
reminis0.466
Suppressed:
either-0.515
or-0.488
[]-0.473
--0.408
не-0.396