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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. MLP Out - 65k
    5. 0-GEMMASCOPE-MLP-65K
    6. 60977
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    keywords related to aquatic environments and marine activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-mlp-65k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_0/width_65k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.0.hook_mlp_out
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    клопе
    -1.09
    WriteTagHelper
    -0.97
    SourceChecksum
    -0.94
    CodeAttribute
    -0.88
     تضيفلها
    -0.84
    )");
    
    -0.84
    enumii
    -0.83
    ')).
    -0.81
    ihnachten
    -0.80
    BeginContext
    -0.79
    POSITIVE LOGITS
     sauvages
    0.60
    mainloop
    0.59
    ので
    0.57
     professionnel
    0.57
     sauvage
    0.52
    Cách
    0.51
    IVE
    0.51
     New
    0.50
     Wunder
    0.50
    ดย
    0.49
    Activations Density 0.013%

    No Known Activations