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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. 9590
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    references to healthy eating and dietary patterns

    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
    انگلیسی
    -0.55
    ồn
    -0.48
    TextAppearance
    -0.47
    lugin
    -0.47
     distribuição
    -0.46
     BNE
    -0.46
    sition
    -0.46
     interesar
    -0.46
    rootScope
    -0.46
    ArrowToggle
    -0.44
    POSITIVE LOGITS
    (!__
    0.69
    SharedCtor
    0.63
     ***!
    0.60
     ويكيپيديا
    0.59
     विश्वसनीयता
    0.56
    شهاد
    0.56
    Życiorys
    0.54
    Inflater
    0.54
     autorytatywna
    0.53
    ativement
    0.53
    Activations Density 0.385%

    No Known Activations