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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. 10946
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    Explanations

    details related to automotive specifications and features

    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
     exhaust
    -0.74
     Exhaust
    -0.71
     muffler
    -0.67
     Pipe
    -0.66
     pipe
    -0.66
     tubos
    -0.65
    exhaust
    -0.64
    Exhaust
    -0.64
     Pipes
    -0.63
     tubo
    -0.62
    POSITIVE LOGITS
     تضيفلها
    0.63
     snippetHide
    0.61
    Diweddarwch
    0.60
    таратура
    0.59
     comuniques
    0.58
     Lightboxes
    0.56
    XmlAccessType
    0.56
     ivelany
    0.53
    includegraphics
    0.52
    🏾
    0.51
    Activations Density 0.263%

    No Known Activations