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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. 13905
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    Explanations

    culinary terms and specific ingredient preparations

    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
    ScopeManager
    -0.53
    SharedCtor
    -0.50
    :✨
    -0.49
     tartalomajánló
    -0.48
    RenderAtEndOf
    -0.48
     AssemblyCulture
    -0.47
    InputTagHelper
    -0.47
    ReusableCell
    -0.47
    脚注の使い方
    -0.47
     للمعارف
    -0.45
    POSITIVE LOGITS
    Dried
    0.59
    dried
    0.59
     Dried
    0.56
     getrock
    0.54
    roasted
    0.52
     roasted
    0.51
    UrlEncoded
    0.51
     dried
    0.50
     purified
    0.49
     cooked
    0.48
    Activations Density 0.680%

    No Known Activations