model:
  name: "facebook/dinov2-large"
  compression_dim: 256
  pooling_type: "attention"  # attention-based Top-K
  top_k_ratio: 0.5           # Keep 50% of tokens
  hidden_ratio: 2.0          # MLP hidden = compression_dim * 2
  dropout_rate: 0.1
  use_residual: true
  device: "auto"             # auto-detect GPU

visualization:
  plot_theme: "plotly_white"
  color_scale: "viridis"
  point_size: 8
  fig_width: 900
  fig_height: 600

output:
  directory: "./outputs"
  html_self_contained: true
  png_scale: 2               # 2x resolution for PNG