There is considerable debate surrounding the nature of spatial representations within visuospatial working memory (VSWM), with some arguing for slot-based representation and others, such as Schneegans and Bays (2016), arguing for a resource model of VSWM. We aimed to replicate and extend the work of Schneegans and Bays (2016) by testing a larger range of set sizes and controlling for any eye movements that were made during encoding and rehearsal, as activation of the eye movement system may play an important role in spatial working memory (Ball et al., 2013; Pearson et al., 2014). We used a continuous response task, where participants were required to localise a probe stimulus from an initially presented array. Consistent with Schneegans and Bays (2016), we found a decrease in precision, and a corresponding increase in swap errors, with increasing set sizes. However, we also found an exponential increase in localisation error as set size increased from one to eight items. We speculate that this increase in localisation error and swap errors may be best accounted for by an oculomotor rehearsal system, which gets overloaded at larger set sizes. That is, the ability to plan and execute saccades during encoding and rehearsal improves the representation of spatial locations in VSWM.