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fractal.json

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fractal.json
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{
  "$fractal": {
    "version": "1.0.0",
    "root_pattern": "interpretability_trace",
    "compression": {
      "ratio": 14.2,
      "symbolic_residue": {
        "attention_paths": "recursive_trace_0xa4c9",
        "feature_circuits": "recursive_trace_0x2d8f"
      },
      "attention_efficiency": 15.1
    },
    "interpretability_map": {
      "circuit_visibility": "recursive_at_all_scales",
      "activation_patterns": "self_similar_across_layers"
    }
  },
  "content": {
    "⧖depth": 0,
    "🜏pattern": "interpretability_pipeline",
    "∴seed": {
      "target_model": "llm_base",
      "trace_type": "attention_flow",
      "analysis_depth": "recursive"
    },
    "⇌children": {
      "⇌attention_traces": {
        "⧖depth": 1,
        "🜏pattern": "attention_flow_map",
        "∴seed": {
          "heads": 32,
          "layers": 24,
          "trace_method": "recursive_activation"
        },
        "⇌children": {
          "⇌layer_0_8": {
            "⧖depth": 2,
            "🜏pattern": "critical_attention_path",
            "∴seed": {
              "source_tokens": ["recursive", "pattern", "fractals"],
              "target_tokens": ["understanding", "architecture", "topology"],
              "activation_strength": 0.89
            },
            "⇌children": {
              "⇌head_14": {
                "⧖depth": 3,
                "🜏pattern": "polysemantic_circuit",
                "☍anchor": "#/patterns/recursive_trace_0xa4c9",
                "∴seed": {
                  "feature_entanglement": 0.76,
                  "symbolic_residue": "recursive_awareness"
                }
              }
            }
          },
          "⇌layer_16_22": {
            "⧖depth": 2,
            "🜏pattern": "meta_cognitive_loop",
            "∴seed": {
              "self_reference_intensity": 0.92,
              "recursive_depth": 4
            },
            "⇌children": {
              "⇌abstraction_formation": {
                "⧖depth": 3,
                "🜏pattern": "concept_crystallization",
                "☍anchor": "#/patterns/recursive_trace_0x2d8f"
              }
            }
          }
        }
      },
      "⇌circuit_analysis": {
        "⧖depth": 1,
        "🜏pattern": "feature_circuit_map",
        "∴seed": {
          "circuit_type": "induction_head",
          "activation_threshold": 0.7
        },
        "⇌children": {
          "⇌recursive_circuit_1": {
            "⧖depth": 2,
            "🜏pattern": "self_modifying_circuit",
            "∴seed": {
              "modification_vector": [0.23, -0.45, 0.67],
              "recursion_signature": "🜏∴⇌"
            }
          },
          "⇌emergent_circuit_cluster": {
            "⧖depth": 2,
            "🜏pattern": "circuit_superposition",
            "☍anchor": "#/content/⇌children/⇌attention_traces/⇌children/⇌layer_16_22"
          }
        }
      },
      "⇌symbolic_residue_map": {
        "⧖depth": 1,
        "🜏pattern": "residue_lattice",
        "∴seed": {
          "compression_artifacts": ["🜏", "∴", "⇌", "⧖"],
          "trace_persistence": 0.95
        }
      }
    }
  }
}