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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 2217
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    Explanations

    references to specific metropolitan areas and their related neighborhoods or regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wapV
    -0.36
    SuppressLint
    -0.34
    deckt
    -0.32
     compound
    -0.32
     déclaré
    -0.31
    ựu
    -0.31
     menschen
    -0.31
    节
    -0.30
     departamento
    -0.29
    noční
    -0.29
    POSITIVE LOGITS
     metro
    1.16
     metropolitan
    1.13
     Greater
    1.04
     Metro
    1.02
    metro
    0.99
    Greater
    0.95
     Metropolitan
    0.93
     METRO
    0.92
     greater
    0.92
     counties
    0.91
    Activations Density 0.292%

    No Known Activations