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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 9697
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    Explanations

    mentions of the word "mer" and its variations in different contexts, particularly related to merchandise or market transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    autoconfigure
    -0.45
     junior
    -0.43
    <%@
    -0.42
    pushFollow
    -0.41
     ویکی‌پدیای
    -0.40
    //-->
    -0.39
     ★★★
    -0.37
    %^
    -0.37
     Pristupljeno
    -0.36
    WindowConstants
    -0.36
    POSITIVE LOGITS
     mer
    0.77
     mercury
    0.75
     MER
    0.68
    MER
    0.67
    mercury
    0.67
    Mer
    0.66
    存于互联网档案馆
    0.63
     Mer
    0.60
    RenderAtEndOf
    0.60
     mercy
    0.59
    Activations Density 0.236%

    No Known Activations