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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. 10000
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    terms related to vehicle features and specifications

    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
    
    -0.85
     AssemblyVersion
    -0.71
    Abitanti
    -0.69
    AndEndTag
    -0.69
     QtCore
    -0.69
    contentLoaded
    -0.66
    yarnpkg
    -0.64
    DataURL
    -0.62
     defStyle
    -0.61
    posedge
    -0.60
    POSITIVE LOGITS
     adjustable
    0.54
     NSCoder
    0.53
     Adjustable
    0.52
     cơ
    0.50
    bida
    0.48
     cast
    0.47
    med
    0.46
     autorytatywna
    0.45
    Adjustable
    0.45
     alu
    0.44
    Activations Density 0.240%

    No Known Activations