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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 8469
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    Explanations

    terms related to dietary habits and metabolic measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     olev
    -0.41
     graduación
    -0.40
     violencia
    -0.40
     explosión
    -0.40
     kuiten
    -0.39
     inflación
    -0.38
     inversión
    -0.37
     nák
    -0.37
     kekerasan
    -0.37
     negociar
    -0.36
    POSITIVE LOGITS
    olisme
    0.56
     Metabolism
    0.55
     metabolic
    0.53
     Metabolic
    0.52
     metabolism
    0.52
     metabol
    0.50
     metabo
    0.48
     wireType
    0.48
     للمعارف
    0.47
    MessageOf
    0.47
    Activations Density 0.646%

    No Known Activations