I am trying to interpret top losses from a model that I successfully built and keep on getting the following error. I found a couple of links with this topic but with no real followup.

Code

`interp.plot_top_losses(2, figsize=(15,11))`

Error

```
IndexError Traceback (most recent call last)
<ipython-input-42-ad32031f46cf> in <module>()
----> 1 interp.plot_top_losses(2, figsize=(15,11))
/home/gbogu17/.local/lib/python3.7/site-packages/fastai/vision/learner.py in _cl_int_plot_top_losses(self, k, largest, figsize, heatmap, heatmap_thresh, return_fig)
173 fig.suptitle('prediction/actual/loss/probability', weight='bold', size=14)
174 for i,idx in enumerate(tl_idx):
--> 175 im,cl = self.data.dl(self.ds_type).dataset[idx]
176 cl = int(cl)
177 im.show(ax=axes.flat[i], title=
/home/gbogu17/.local/lib/python3.7/site-packages/fastai/data_block.py in __getitem__(self, idxs)
646 idxs = try_int(idxs)
647 if isinstance(idxs, Integral):
--> 648 if self.item is None: x,y = self.x[idxs],self.y[idxs]
649 else: x,y = self.item ,0
650 if self.tfms or self.tfmargs:
/home/gbogu17/.local/lib/python3.7/site-packages/fastai/data_block.py in __getitem__(self, idxs)
116 "returns a single item based if `idxs` is an integer or a new `ItemList` object if `idxs` is a range."
117 idxs = try_int(idxs)
--> 118 if isinstance(idxs, Integral): return self.get(idxs)
119 else: return self.new(self.items[idxs], inner_df=index_row(self.inner_df, idxs))
120
/home/gbogu17/.local/lib/python3.7/site-packages/fastai/vision/data.py in get(self, i)
268
269 def get(self, i):
--> 270 fn = super().get(i)
271 res = self.open(fn)
272 self.sizes[i] = res.size
/home/gbogu17/.local/lib/python3.7/site-packages/fastai/data_block.py in get(self, i)
72 def get(self, i)->Any:
73 "Subclass if you want to customize how to create item `i` from `self.items`."
---> 74 return self.items[i]
75 def __repr__(self)->str:
76 items = [self[i] for i in range(min(5,len(self.items)))]
IndexError: index 701921 is out of bounds for axis 0 with size 314
```