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revise readme for prereqs and workflow clarity

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  1. README.md +4 -7
README.md CHANGED
@@ -102,7 +102,8 @@ DT-Circuits/
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  ### Prerequisites
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  - Python 3.9+
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  - PyTorch 2.x
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- - TransformerLens & SAE-Lens
 
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  ### Quick Start
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@@ -111,7 +112,7 @@ Follow these steps to initialize the environment and verify the installation.
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  1. **Environment Setup**
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  ```bash
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  python -m venv venv
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- source venv/bin/activate # Windows: venv\Scripts\activate
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  pip install -r requirements.txt
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  ```
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@@ -127,18 +128,14 @@ Follow these steps to initialize the environment and verify the installation.
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  streamlit run src/dashboard/app.py
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  ```
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- ### Research Workflow
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-
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- The standard pipeline consists of trajectory harvesting via teacher agents, model training, and mechanistic analysis.
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  1. **Data Harvesting & Model Training**
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- Execute the training script to collect trajectories and train the Decision Transformer.
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  ```bash
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  python scripts/train_dt.py
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  ```
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  2. **Interpretability Analysis**
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- Utilize the dashboard for circuit mapping (DLA), causal intervention (patching), and SAE latent exploration.
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  ```bash
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  streamlit run src/dashboard/app.py
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  ```
 
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  ### Prerequisites
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  - Python 3.9+
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  - PyTorch 2.x
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+ - TransformerLens
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+ - SAE-Lens
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  ### Quick Start
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  1. **Environment Setup**
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  ```bash
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  python -m venv venv
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+ source venv/bin/activate
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  pip install -r requirements.txt
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  ```
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  streamlit run src/dashboard/app.py
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  ```
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+ ### Workflow
 
 
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  1. **Data Harvesting & Model Training**
 
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  ```bash
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  python scripts/train_dt.py
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  ```
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  2. **Interpretability Analysis**
 
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  ```bash
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  streamlit run src/dashboard/app.py
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  ```