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    text related to medical conditions such as asthma, obesity, and respiratory diseases.

    oai_token-act-pair · gemini-2.0-flash

    medical conditions

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hun
    -0.56
    Hun
    -0.55
    ]++;
    -0.54
     utafitiHapana
    -0.47
    )?.
    -0.47
     hun
    -0.47
    +#+
    -0.46
    Diweddarwch
    -0.46
     content
    -0.45
    estors
    -0.45
    POSITIVE LOGITS
    BeginContext
    0.75
     BoxDecoration
    0.62
     Aler
    0.56
    migrationBuilder
    0.56
     fatica
    0.55
    ScopeManager
    0.54
    AutoScale
    0.53
    الحياه
    0.52
     تضيفلها
    0.52
    Tikang
    0.52
    Activations Density 0.867%

    No Known Activations