final?

app.py

@@ -245,7 +245,7 @@ with gr.Blocks(css=css, fill_height=True) as demo:
             chat_interface = gr.ChatInterface(
                 fn=generate,
                 title="Chat with a Concept Steering Model",
-                description="""Steer responses by selecting concepts on the right →\n\nWe are using Gemma-2-2B-it with steering vectors added to the residual stream at layer 20. Our auto-steer steering vector generated is a finetuned Gemma-2-2B model. Steered model tends to generate longer responses.""",
+                description="""Steer responses by selecting concepts on the right →\n\nWe intervene on Gemma-2-2B-it by adding steering vectors to the residual stream at layer 20.""",
                 type="messages",
                 additional_inputs=[selected_subspaces],
                 fill_height=True
@@ -254,7 +254,7 @@ with gr.Blocks(css=css, fill_height=True) as demo:
         # Right side: concept management
         with gr.Column(scale=3):
             gr.Markdown("## Steer Model Responses")
-            gr.Markdown("Search and then select a concept to steer. The closest match will be automatically selected. If there is no match, we will use our steering vector generator to auto-steer for you!")
+            gr.Markdown("Search and then select a concept to steer. The closest match will be automatically selected. If there is no match, our steering vector generator (a finetuned Gemma-2-2B) auto-steers for you!")
             # Concept Search and Selection
             with gr.Group():
                 search_box = gr.Textbox(