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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11222
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    Explanations

    mentions of specific geographical locations or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    starting with "Wa", "Va", or "Wak"

    np_acts-logits-general · gemini-2.0-flash

    Wa and Wag sequences

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.71
     estekak
    -0.71
    Diwedd
    -0.70
    NameInMap
    -0.69
    Aholisi
    -0.68
    DockStyle
    -0.68
    rungsseite
    -0.68
    istoitu
    -0.68
     Roskov
    -0.66
    parsedMessage
    -0.65
    POSITIVE LOGITS
     Wa
    0.47
     wa
    0.42
     Vac
    0.39
     Tra
    0.37
     Watt
    0.37
     Va
    0.35
     vac
    0.34
    Wa
    0.34
     वा
    0.33
     va
    0.32
    Activations Density 0.217%

    No Known Activations