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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
    11. 109586
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    INDEX
    Explanations

    occurrences of the word "per," particularly in contexts that quantify rates or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     per
    -1.14
     Per
    -0.81
    Per
    -0.73
    per
    -0.63
     PER
    -0.57
    InjectAttribute
    -0.52
    PER
    -0.43
     пер
    -0.40
    tagHelperRunner
    -0.39
    RegistryLite
    -0.39
    POSITIVE LOGITS
     becauſe
    0.56
    الحياه
    0.56
     ſtand
    0.54
    :].
    0.53
     الرياضيه
    0.52
    loit
    0.50
    styleType
    0.49
    ftagPool
    0.47
     faſt
    0.47
    agaimana
    0.47
    Activations Density 0.008%

    No Known Activations