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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. 11846
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    specific references to crafting or creating wooden products

    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
    AutoScale
    -0.56
     @"/
    -0.51
    Referanser
    -0.51
    ContentAsync
    -0.51
    JNIEnv
    -0.48
     vaih
    -0.47
     woning
    -0.45
     raus
    -0.44
     correctes
    -0.43
     району
    -0.43
    POSITIVE LOGITS
     bezeichneter
    0.68
    новниш
    0.66
     however
    0.63
    ցված
    0.63
     %@",
    0.63
    PreferredItem
    0.62
     obstante
    0.61
    ganu
    0.61
     saurait
    0.61
    yntaxException
    0.60
    Activations Density 0.416%

    No Known Activations