data/e7_passkey/o_passkey_codellama.json

{
  "model": "codellama",
  "l_crit": 28,
  "rope_theta": 1000000,
  "n_layers": 40,
  "n_prompts": 50,
  "passkey_digits": 5,
  "distances": {
    "100": {
      "exact_match_base": 0.3,
      "exact_match_transplant": 0.3,
      "digit_overlap_base": 0.43200000000000005,
      "digit_overlap_transplant": 0.436,
      "improvement_exact": 0.0,
      "improvement_digit": 0.003999999999999948
    },
    "200": {
      "exact_match_base": 0.44,
      "exact_match_transplant": 0.46,
      "digit_overlap_base": 0.5680000000000001,
      "digit_overlap_transplant": 0.584,
      "improvement_exact": 0.020000000000000018,
      "improvement_digit": 0.015999999999999903
    },
    "500": {
      "exact_match_base": 0.22,
      "exact_match_transplant": 0.2,
      "digit_overlap_base": 0.244,
      "digit_overlap_transplant": 0.23199999999999998,
      "improvement_exact": -0.01999999999999999,
      "improvement_digit": -0.01200000000000001
    },
    "1000": {
      "exact_match_base": 0.16,
      "exact_match_transplant": 0.16,
      "digit_overlap_base": 0.21200000000000002,
      "digit_overlap_transplant": 0.21200000000000002,
      "improvement_exact": 0.0,
      "improvement_digit": 0.0
    },
    "2000": {
      "exact_match_base": 0.04,
      "exact_match_transplant": 0.04,
      "digit_overlap_base": 0.09200000000000001,
      "digit_overlap_transplant": 0.09200000000000001,
      "improvement_exact": 0.0,
      "improvement_digit": 0.0
    }
  }
}