We study the sample path properties of .2 random surfaces, in particular in the neighbourhood of their extrema. We show that, as is the case for their Gaussian counterparts, .2 surfaces at high levels follow the form of certain deterministic paraboloids, but that, unlike their Gaussian counterparts, at low levels their form is much more random. This has a number of interesting implications in the modelling of rough surfaces and the study of the .robustness' of Gaussian field models. The general approach of the paper is the study of extrema via the .Slepian model process', which, for .2 fields, is tractable only at asymptotically high or low levels.