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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 126054
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    INDEX
    Explanations

    mentions of the word "Wol" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    names starting with Wol

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afficheront
    -0.57
    RTLI
    -0.54
    parsedMessage
    -0.51
    StartTag
    -0.50
    PreferredItem
    -0.50
    BASEPATH
    -0.50
    rungsseite
    -0.46
    AddRef
    -0.46
    acid
    -0.45
    
    -0.45
    POSITIVE LOGITS
     Wol
    2.33
    Wol
    2.31
     wol
    1.86
     WOL
    1.77
    wol
    1.74
     Wolfram
    1.52
    WOL
    1.51
     Wolff
    1.47
     Wolfe
    1.09
    Wolfe
    1.09
    Activations Density 0.006%

    No Known Activations