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    5. 19-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    a combination of references to consumerism and negative concepts like crime or death

    oai_token-act-pair · gemini-2.0-flash

    Car-related words

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.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
    SPJ
    -0.65
    ChildIndex
    -0.56
     llorando
    -0.54
    tská
    -0.52
     čierna
    -0.50
     löyty
    -0.50
     metà
    -0.48
    Портал
    -0.48
    HandlerContext
    -0.47
     grève
    -0.46
    POSITIVE LOGITS
     cars
    1.40
     automobiles
    1.26
     car
    1.20
     automobile
    1.16
     vehicles
    1.13
    cars
    1.07
     vehicle
    1.06
     Automobiles
    1.06
     Cars
    1.02
     motorcycles
    1.02
    Activations Density 3.152%

    No Known Activations