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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. 9911
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    INDEX
    Explanations

    instances of the word "what" and its variations in different contexts

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

    no matter what

    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
    ScopeManager
    -0.48
    complexContent
    -0.48
    parsedMessage
    -0.44
     numberWith
    -0.43
    WithIdentifier
    -0.41
     Fresco
    -0.38
    rovnik
    -0.38
     yet
    -0.38
     ModelExpression
    -0.38
     Scent
    -0.38
    POSITIVE LOGITS
    Whatever
    0.74
     Whatever
    0.71
     whatever
    0.70
     apapun
    0.69
    whatever
    0.69
    atever
    0.60
     qualunque
    0.57
     qualsiasi
    0.57
     whatsoever
    0.56
    Wherever
    0.55
    Activations Density 0.004%

    No Known Activations