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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. 108755
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    specific athletes and their performances in a sports context

    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
    SharedDtor
    -0.40
     financieros
    -0.39
    }}}
    -0.38
     vrijwilli
    -0.38
     vendita
    -0.37
     plomo
    -0.37
     bolsillos
    -0.37
     investissements
    -0.37
    Население
    -0.36
     aviones
    -0.36
    POSITIVE LOGITS
    httphttps
    0.62
     يتيمه
    0.62
     estekak
    0.60
    Rüyada
    0.57
    InjectAttribute
    0.54
    IntoConstraints
    0.54
     հղումներ
    0.51
     typelib
    0.49
    queryInterface
    0.49
    encodeWith
    0.49
    Activations Density 0.234%

    No Known Activations