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    2. Gemma-2-2B
    3. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    legal arguments with specific word endings, such as "ed" and "ingly"

    oai_token-act-pair · gemini-2.0-flash

    legal/technical writing

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.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
    ReusableCell
    -0.70
    RunWith
    -0.67
    LookAnd
    -0.65
    ImageContext
    -0.59
    RefNanny
    -0.59
     poches
    -0.59
     ácidos
    -0.59
     Мексичка
    -0.58
     ristor
    -0.58
     EdgeInsets
    -0.58
    POSITIVE LOGITS
    --
    0.59
    astify
    0.53
    (
    0.52
    xl
    0.50
    ml
    0.49
    >>
    0.49
    .--
    0.48
    (#
    0.48
    "--
    0.48
    ->
    0.48
    Activations Density 2.563%

    No Known Activations