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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7776
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    Explanations

    geographical references, specifically focusing on major cities and regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wireType
    -0.48
    otypic
    -0.39
     amino
    -0.39
    amino
    -0.39
    optionalTypeArgs
    -0.38
    ocrine
    -0.37
    ValueStyle
    -0.36
    iibo
    -0.36
    MarshalTo
    -0.35
    IBAction
    -0.34
    POSITIVE LOGITS
     Tokyo
    2.13
     Mumbai
    2.03
     London
    2.03
     Toronto
    2.02
     Moscow
    1.97
     Chicago
    1.96
     Beijing
    1.95
     Seoul
    1.93
     Bangkok
    1.91
    Tokyo
    1.91
    Activations Density 0.563%

    No Known Activations