Sample shape responses from the 1G1P network on shapes of scale 4. Scale 4 shapes are not only considerably larger than shapes the network was trained on, but can contain very complex and locally ambiguous arrangements of features. The ability of the network to resolve ambiguity is diminished as the scale increases or if multiple portions of the input are ambiguous. Each shape is accompanied by the percentage of border ownership neurons that had correct polarity assignments when the result was probed.