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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 8012
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    INDEX
    Explanations

    references to "Met" or related terms indicating metropolitan contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PerformLayout
    -0.51
    permum
    -0.50
     desmotivaciones
    -0.48
    EndProject
    -0.48
    舺
    -0.47
     newOwner
    -0.46
    äsche
    -0.46
    ssaint
    -0.46
    aarrggbb
    -0.45
     Seasonal
    -0.43
    POSITIVE LOGITS
     Met
    1.10
    Met
    0.99
     Metropolitan
    0.98
     metro
    0.97
     Metro
    0.94
    Metro
    0.89
     metropolitan
    0.89
    Metropolitan
    0.89
     METRO
    0.85
    METRO
    0.84
    Activations Density 0.355%

    No Known Activations