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    3. Gemma-2-2B
    5. 0-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the word "encounter" or references to governments

    oai_token-act-pair · gemini-2.0-flash

    legal/governmental text

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.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
    stonia
    -0.68
     etern
    -0.68
    ligence
    -0.68
    moiselle
    -0.66
    cillors
    -0.65
    psack
    -0.65
    TopLeft
    -0.65
     gamba
    -0.64
    mopolitan
    -0.63
     Incidentally
    -0.63
    POSITIVE LOGITS
     autorytatywna
    0.90
     onCancelled
    0.84
     дописавши
    0.73
    IntoConstraints
    0.71
     tetto
    0.69
     titolata
    0.67
    StoryboardSegue
    0.66
    setVerticalGroup
    0.66
     États
    0.65
    ıştı
    0.65
    Activations Density 2.889%

    No Known Activations