diff --git a/README.md b/README.md
index c77b611..e5b411a 100644
--- a/README.md
+++ b/README.md
@@ -87,7 +87,7 @@ The lockdrop simulation validates the Zenith Network's token distribution mechan
 
     ```bash
     # Example
-    ssh -A <control-node-ip>
+    ssh -A <user>@<control-node-ip>
     ```
 
 - Set zenith-stack version to use:
@@ -398,16 +398,6 @@ Now we can execute the reference Jupyter notebook to perform lockdrop allocation
     - Calculate allocation amounts for different lock periods
     - Generate artifacts (`lockdrop_allocations_notebook.json`) for comparison with the data from zenithd node
 
-3. **View Notebook Results (Optional)**
-
-    To view the analysis on generated data, open the notebook in your browser at <http://localhost:8888/notebooks/lockdrop-calculations-simulated.ipynb>:
-
-    ```bash
-    jupyter notebook lockdrop-calculations-simulated.ipynb
-    ```
-
-    The notebook contains useful visualizations including allocation distributions, lock period analysis, and participant statistics.
-
 ### Step 5: Run Simulation Tests
 
 Now we can run the comprehensive test suite to validate that the zenithd node's TGE allocations match notebook results and run-time accruals happen as expected.
@@ -463,6 +453,26 @@ Now we can run the comprehensive test suite to validate that the zenithd node's
     - Any differences or mismatches
     - Validation of the lockdrop implementation
 
+5. **View Lockdrop Distribution Notebook Results (Optional)**
+
+    To view the analysis on generated data, open it using jupyter:
+
+    ```bash
+    jupyter notebook lockdrop-calculations-simulated.ipynb
+    ```
+
+    This should automatically open the notebook in you browser.
+
+    If jupyter is running on a remote host, you can tunnel the port `8888` to load the notebook in your local browser:
+
+    ```bash
+    ssh <user>@<control-node-ip> -L localhost:8888:localhost:8888 -Nv
+    ```
+
+    Open the URL from server logs and load `lockdrop-calculations-simulated.ipynb`.
+
+    The notebook contains useful visualizations including allocation distributions, lock period analysis, and participant statistics.
+
 ## Cleanup
 
 ### Validator Deployment
diff --git a/test-runs/README.md b/test-runs/README.md
index 456c786..d8afcd6 100644
--- a/test-runs/README.md
+++ b/test-runs/README.md
@@ -54,7 +54,7 @@ To reproduce the results from any one of the test runs, follow these steps to ru
 
     ```bash
     # Example
-    ssh -A <control-node-ip>
+    ssh -A <user>@<control-node-ip>
     ```
 
 - Set zenith-stack version to use:
@@ -366,16 +366,6 @@ Now we can execute the reference Jupyter notebook to perform lockdrop allocation
     - Calculate allocation amounts for different lock periods
     - Generate artifacts (`lockdrop_allocations_notebook.json`) for comparison with the data from zenithd node
 
-3. **View Notebook Results (Optional)**
-
-    To view the analysis on participants data, open the notebook in your browser at <http://localhost:8888/notebooks/lockdrop-calculations-simulated.ipynb>:
-
-    ```bash
-    jupyter notebook lockdrop-calculations-simulated.ipynb
-    ```
-
-    The notebook contains useful visualizations including allocation distributions, lock period analysis, and participant statistics.
-
 ### Step 5: Run Simulation Tests
 
 Now we can run the comprehensive test suite to validate that the zenithd node's TGE allocations match notebook results and run-time accruals happen as expected.
@@ -409,6 +399,26 @@ Now we can run the comprehensive test suite to validate that the zenithd node's
     - **Unlock Schedule Tests**: Validate unlock block calculations (considering each point's locking time) and initial unlock amounts
     - **Accrual State Tests**: Verify accrual state calculations at current block height
 
+3. **View Lockdrop Distribution Notebook Results (Optional)**
+
+    To view the analysis on generated data, open it using jupyter:
+
+    ```bash
+    jupyter notebook lockdrop-calculations-simulated.ipynb
+    ```
+
+    This should automatically open the notebook in you browser.
+
+    If jupyter is running on a remote host, you can tunnel the port `8888` to load the notebook in your local browser:
+
+    ```bash
+    ssh <user>@<control-node-ip> -L localhost:8888:localhost:8888 -Nv
+    ```
+
+    Open the URL from server logs and load `lockdrop-calculations-simulated.ipynb`.
+
+    The notebook contains useful visualizations including allocation distributions, lock period analysis, and participant statistics.
+
 ## Compare Results
 
 After running the tests, compare your output from the tests above to output from the chosen test run (eg. `test-runs/run1/output.log`):