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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
    11. 108672
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    references to high performance across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PERFORMANCE
    -0.70
    ientras
    -0.69
    ſelben
    -0.65
    RenderAtEndOf
    -0.65
     estadounid
    -0.64
    performance
    -0.64
     performance
    -0.64
     fashiola
    -0.63
     erſt
    -0.63
    ágenes
    -0.63
    POSITIVE LOGITS
    DockStyle
    0.32
     قد
    0.30
    styleType
    0.30
    cons
    0.29
     решили
    0.28
    mod
    0.28
     décide
    0.27
    URIComponent
    0.27
    red
    0.27
    tree
    0.27
    Activations Density 0.002%

    No Known Activations