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    3. Gemma-2-2B
    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the word "win" or "Win"

    oai_token-act-pair · gemini-2.0-flash

    win

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.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
     Baran
    -0.58
    alisco
    -0.56
     Cart
    -0.55
    \{\\
    -0.55
    +#+
    -0.55
    spotted
    -0.54
     Crawl
    -0.52
    winning
    -0.52
    BagConstraints
    -0.52
    SceneManagement
    -0.52
    POSITIVE LOGITS
     kasarigan
    0.61
    antaranya
    0.54
    runApp
    0.50
    setInitial
    0.48
     Theſe
    0.48
    twimg
    0.48
    wiſe
    0.48
     råd
    0.47
     conseguenza
    0.46
     Houſe
    0.46
    Activations Density 1.190%

    No Known Activations