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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    mentions of injuries, especially knee injuries, in sports or physical contexts

    oai_token-act-pair · gemini-2.0-flash

    body parts and injuries

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.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
     Body
    -0.63
    Body
    -0.59
     BODY
    -0.55
    rawQuery
    -0.54
    IVEREF
    -0.50
     body
    -0.49
    UrlResolution
    -0.48
    mlı
    -0.48
     Chicken
    -0.47
     symboles
    -0.46
    POSITIVE LOGITS
     Мексичка
    0.65
    )";
    0.62
    "],
    0.59
    ">'.$
    0.59
     становника
    0.59
     חיצוניים
    0.59
    ecap
    0.59
    )}
    0.58
    )");
    0.58
    "},
    0.58
    Activations Density 13.150%

    No Known Activations