diff --git a/gpt.py b/gpt.py
index e4fc68d6..2fcb2a0f 100644
--- a/gpt.py
+++ b/gpt.py
@@ -96,11 +96,10 @@ def __init__(self, num_heads, head_size):
         super().__init__()
         self.heads = nn.ModuleList([Head(head_size) for _ in range(num_heads)])
         self.proj = nn.Linear(head_size * num_heads, n_embd)
-        self.dropout = nn.Dropout(dropout)
 
     def forward(self, x):
         out = torch.cat([h(x) for h in self.heads], dim=-1)
-        out = self.dropout(self.proj(out))
+        out = self.proj(out)
         return out
 
 class FeedFoward(nn.Module):
@@ -111,8 +110,8 @@ def __init__(self, n_embd):
         self.net = nn.Sequential(
             nn.Linear(n_embd, 4 * n_embd),
             nn.ReLU(),
-            nn.Linear(4 * n_embd, n_embd),
             nn.Dropout(dropout),
+            nn.Linear(4 * n_embd, n_embd),
         )
 
     def forward(self, x):
@@ -129,10 +128,12 @@ def __init__(self, n_embd, n_head):
         self.ffwd = FeedFoward(n_embd)
         self.ln1 = nn.LayerNorm(n_embd)
         self.ln2 = nn.LayerNorm(n_embd)
+        self.dropout1 = nn.Dropout(dropout)
+        self.dropout2 = nn.Dropout(dropout)
 
     def forward(self, x):
-        x = x + self.sa(self.ln1(x))
-        x = x + self.ffwd(self.ln2(x))
+        x = x + self.dropout1(self.sa(self.ln1(x)))
+        x = x + self.dropout2(self.ffwd(self.ln2(x)))
         return x
 
 class GPTLanguageModel(nn.Module):