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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. 9155
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    statistical performance measures in sports contexts

    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
     Walkover
    -0.52
    IsMutable
    -0.48
    pegno
    -0.48
     Na
    -0.47
    ValueStyle
    -0.46
     Bio
    -0.45
    скра
    -0.44
     super
    -0.43
     back
    -0.42
     chitarra
    -0.42
    POSITIVE LOGITS
    ."));
    0.79
     дописавши
    0.76
    AnchorStyles
    0.69
     }}$}
    0.66
     חיצוניים
    0.66
    \}\\
    0.64
    "]];
    0.64
    NUMX
    0.63
    }*/
    0.63
    __*/
    0.62
    Activations Density 0.186%

    No Known Activations