coupling_analysis_config.json

{
  "model_config": {
    "model_name": "meta-llama/Llama-2-7b-hf",
    "target_layers": [
      "model.layers.28",
      "model.layers.29",
      "model.layers.30",
      "model.layers.31"
    ],
    "target_component": "mlp.down_proj",
    "layer_selection_reason": "Last 4 layers chosen for semantic richness and memory optimization"
  },
  "coupling_analysis": {
    "method": "gradient_cosine_similarity",
    "gradient_computation": "∇_θ log P(answer|question)",
    "normalization": "L2 normalization",
    "high_coupling_threshold": 0.4,
    "batch_size": 2000,
    "memory_optimization": true
  },
  "dataset_processing": {
    "source_dataset": "hotpotqa",
    "total_samples": 97852,
    "format": "cloze_style_questions",
    "question_template": "Given the context: {context}, the answer to '{question}' is [MASK]."
  },
  "hardware_specs": {
    "gpu": "NVIDIA A40",
    "vram": "46GB",
    "gpu_memory_allocated": "~21GB during analysis",
    "gpu_memory_reserved": "~43GB during analysis"
  }
}