He hadn't been expecting this. Michael, a man of routine and pragmatism, was clearing the attic of the house he’d just bought, when he stumbled upon a treasure trove of old photographs. They weren't his, clearly. Each sepia-toned image whispered of a different time, a different family.

He sat cross-legged on the dusty floor, sorting through them. A young woman in a flapper dress, laughing into the camera. A stern-faced man in a suit, holding a child. They were strangers, but their happiness and the love seemed to leak from the photo and reach him. He felt his throat tighten.

He found himself cradling a worn picture of a young couple, arms around each other. The woman's eyes were full of an unspoken longing. Michael sighed, picking up a pen and writing the date on the back of the photo. He decided that this batch of photographs was too lovely to throw away. He’d frame them and hang them in the guest room.

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