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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. 30778
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    INDEX
    Explanations

    references to utensils and their proper usage

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

    stationery or eating utensils

    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
    endphp
    -0.59
    ftagPool
    -0.55
    resave
    -0.54
    ManagedBean
    -0.52
     madu
    -0.52
     الرياضيه
    -0.49
     noiva
    -0.49
    getColumnIndex
    -0.49
    Dibrom
    -0.49
    Carcinogenicity
    -0.47
    POSITIVE LOGITS
     utensils
    1.73
     utens
    1.63
     utensi
    1.14
     cutlery
    0.99
     silverware
    0.99
     tableware
    0.75
     equipment
    0.66
     spatula
    0.64
     tools
    0.63
     spoons
    0.59
    Activations Density 0.004%

    No Known Activations