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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 9493
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    instructions for preparing and cooking food, specifically for deep frying

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     manteiga
    -0.50
     NgModule
    -0.47
     Russie
    -0.46
    AddAttribute
    -0.46
     yardım
    -0.46
     Doble
    -0.46
     ngh
    -0.45
     BoxFit
    -0.45
     volumes
    -0.44
     CHAPITRE
    -0.43
    POSITIVE LOGITS
    ніципалі
    0.55
    abestanden
    0.52
    jstor
    0.51
    getDescriptor
    0.51
    ιβ
    0.51
     ویکی‌پدی
    0.51
    mittelt
    0.50
    όνι
    0.50
    flot
    0.50
    segmented
    0.50
    Activations Density 0.771%

    No Known Activations