{
  "task": {
    "id": "case_25",
    "name": "token_frequency_normalization",
    "summary": "Normalizes token frequencies in a sequence to a range between 0 and 1.",
    "examples": [
      {
        "input": [
          "BOS",
          "b",
          "b",
          "a",
          "a",
          "b",
          "b",
          "a",
          "a",
          "a"
        ],
        "output": [
          "BOS",
          0.4444444444444444,
          0.4444444444444444,
          0.5555555555555556,
          0.5555555555555556,
          0.4444444444444444,
          0.4444444444444444,
          0.5555555555555556,
          0.5555555555555556,
          0.5555555555555556
        ]
      },
      {
        "input": [
          "BOS",
          "c",
          "c",
          "a",
          "c",
          "a",
          "c",
          "c",
          "a",
          "a"
        ],
        "output": [
          "BOS",
          0.5555555555555556,
          0.5555555555555556,
          0.4444444444444444,
          0.5555555555555556,
          0.4444444444444444,
          0.5555555555555556,
          0.5555555555555556,
          0.4444444444444444,
          0.4444444444444444
        ]
      },
      {
        "input": [
          "BOS",
          "c",
          "a",
          "c",
          "c",
          "a",
          "a",
          "c",
          "b",
          "c"
        ],
        "output": [
          "BOS",
          0.5555555555555556,
          0.3333333333333333,
          0.5555555555555556,
          0.5555555555555556,
          0.3333333333333333,
          0.3333333333333333,
          0.5555555555555556,
          0.1111111111111111,
          0.5555555555555556
        ]
      },
      {
        "input": [
          "BOS",
          "c",
          "c",
          "c",
          "b",
          "c",
          "b",
          "b",
          "c",
          "b"
        ],
        "output": [
          "BOS",
          0.5555555555555556,
          0.5555555555555556,
          0.5555555555555556,
          0.4444444444444444,
          0.5555555555555556,
          0.4444444444444444,
          0.4444444444444444,
          0.5555555555555556,
          0.4444444444444444
        ]
      },
      {
        "input": [
          "BOS",
          "c",
          "c",
          "c",
          "a",
          "c",
          "b",
          "a",
          "b",
          "b"
        ],
        "output": [
          "BOS",
          0.4444444444444444,
          0.4444444444444444,
          0.4444444444444444,
          0.2222222222222222,
          0.4444444444444444,
          0.3333333333333333,
          0.2222222222222222,
          0.3333333333333333,
          0.3333333333333333
        ]
      }
    ],
    "is_categorical": true
  },
  "program": "normalized_freq = rasp.SequenceMap(lambda x, y: (x / y) if y > 0 else None, make_hist(), make_length())\nreturn normalized_freq",
  "components": [
    {
      "id": "L0H0_ATTN",
      "hook": "blocks.0.attn.hook_result[0]",
      "role": {
        "tag": "AGGREGATOR",
        "note": "Builds the token-matching pattern used to count how often each token appears."
      },
      "rasp_vars": [
        "same_tok"
      ],
      "labels": [
        "hist_2_selector_width_attn_output"
      ]
    },
    {
      "id": "L0H1_ATTN",
      "hook": "blocks.0.attn.hook_result[1]",
      "role": {
        "tag": "AGGREGATOR",
        "note": "Builds the all-positions pattern used to compute the sequence length."
      },
      "rasp_vars": [
        "all_true_selector"
      ],
      "labels": [
        "length_3_selector_width_attn_output"
      ]
    },
    {
      "id": "L0_MLP",
      "hook": "blocks.0.mlp.hook_post",
      "role": {
        "tag": "MAPPER",
        "note": "Post-processes the two attention outputs into usable per-position features of token frequency count and sequence length."
      },
      "rasp_vars": [
        "hist",
        "length"
      ],
      "labels": [
        "hist_2",
        "length_3",
        "hist_2_selector_width_attn_output",
        "length_3_selector_width_attn_output"
      ]
    },
    {
      "id": "L1_MLP",
      "hook": "blocks.1.mlp.hook_post",
      "role": {
        "tag": "COMBINER",
        "note": "Combines the per-token frequency with the sequence length to output normalized frequencies in the 0-1 range."
      },
      "rasp_vars": [
        "normalized_freq"
      ],
      "labels": [
        "sequence_map_1"
      ]
    }
  ]
}