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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 15595
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    Explanations

    references to kitchenware and cooking utensils

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceChecksum
    -0.40
    Curtir
    -0.35
     lặng
    -0.34
     consentimento
    -0.34
     gereken
    -0.33
    perrt
    -0.33
    parametrize
    -0.33
     sufficiente
    -0.32
     MacLeod
    -0.32
    inalis
    -0.31
    POSITIVE LOGITS
     cookware
    0.71
     tableware
    0.69
     utensils
    0.63
     utens
    0.61
     ware
    0.59
    pperware
    0.59
    uset
    0.59
    __":
    0.56
    migrationBuilder
    0.56
    writeFieldEnd
    0.56
    Activations Density 0.155%

    No Known Activations