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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12543
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    Explanations

    references to cities and urban areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fromLTRB
    -0.54
     Abra
    -0.51
    EndInit
    -0.50
    WebControls
    -0.47
    nal
    -0.47
    al
    -0.47
    TabStop
    -0.47
     angeb
    -0.46
    FunctionFlags
    -0.45
    LabelTagHelper
    -0.45
    POSITIVE LOGITS
     city
    1.91
    City
    1.88
     City
    1.84
    city
    1.68
     CITY
    1.66
    CITY
    1.60
     getCity
    1.53
    getCity
    1.51
     cities
    1.40
     Cities
    1.33
    Activations Density 0.063%

    No Known Activations