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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. 8531
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    phrases related to effort and performance in various 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
    parsedMessage
    -0.81
     насељу
    -0.69
    脚注の使い方
    -0.68
    Referències
    -0.61
    EndInit
    -0.57
    లాలు
    -0.55
    abestanden
    -0.54
     perfons
    -0.53
    eneuve
    -0.53
     său
    -0.53
    POSITIVE LOGITS
     Weather
    0.50
    tioners
    0.46
    LLES
    0.46
    ONOM
    0.46
     chande
    0.44
    iban
    0.44
    وضوع
    0.44
    inted
    0.43
    quement
    0.43
     Sh
    0.43
    Activations Density 0.514%

    No Known Activations