The sterile white walls of the clinic seemed to press in on her. She felt like a trapped bird, beating its wings against the bars of a cage. The fluorescent lights hummed, amplifying the loneliness that gnawed at her. The endless stream of tests, the hushed consultations, the worried glances – it was all too much.

She sat in the waiting room, flipping through a magazine, her movements mechanical. The vibrant images of happy families and bustling cities felt distant, unreal. She yearned for connection, for someone who understood. A cough, similar to her own, caught her attention.

A man, his face gaunt, his eyes rimmed with red, was seated across from her. He looked at her and there was a question in his eyes. A shared understanding. "They said I have it," he said, his voice quiet, almost defeated. She let out a small, relieved sigh, a sound that felt like she was finally letting go of the tension that had been holding her for so long.

Emotion: sad

Cluster: Sadness / Despair
PC1 (Valence): -2.52 Negative
PC2 (Disposition): -1.50

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.436
😔0.405
S0.384
无法0.341
L0.337
Suppressed:
de-0.749
la-0.614
l-0.471
/-0.350
!-0.322