diff --git a/distiller/data_loggers/logger.py b/distiller/data_loggers/logger.py
index 89ac4730fc938e2a2da01677096f3d10ae33167c..9cb02312ac4788e1d363eacae8cb6ff1a9e29a29 100755
--- a/distiller/data_loggers/logger.py
+++ b/distiller/data_loggers/logger.py
@@ -138,7 +138,7 @@ class TensorBoardLogger(DataLogger):
                 self.tblogger.scalar_summary('sparsity-2D/weights/' + name,
                                              sparsity_2D(param)*100, epoch)
 
-        self.tblogger.scalar_summary("sprasity/weights/total", 100*(1 - sparse_params_size/params_size), epoch)
+        self.tblogger.scalar_summary("sparsity/weights/total", 100*(1 - sparse_params_size/params_size), epoch)
         self.tblogger.sync_to_file()
 
     def log_weights_filter_magnitude(self, model, epoch, multi_graphs=False):
diff --git a/jupyter/compare_executions.ipynb b/jupyter/compare_executions.ipynb
old mode 100644
new mode 100755
index bfe8f8e72c721aaad40835785aa4bdb21521a38d..f680c459317a988236f071c4b6f748574897cd4f
--- a/jupyter/compare_executions.ipynb
+++ b/jupyter/compare_executions.ipynb
@@ -53,7 +53,7 @@
     "\n",
     "# Choose which performance indicators you wish to graph\n",
     "tags = ['Peformance/Validation/Top1', 'Peformance/Validation/Loss', \n",
-    "        'sprasity/weights/total',     'Peformance/Training/Reg Loss']\n",
+    "        'sparsity/weights/total',     'Peformance/Training/Reg Loss']\n",
     "\n",
     "f, axs = plt.subplots(2, 2, figsize=(20,20))\n",
     "f.suptitle('Performance')\n",