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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 2543
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    Explanations

    references to the city of San Francisco

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

    "San" followed by a name

    np_acts-logits-general · gemini-2.0-flash

    names starting with San

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Verfahrens
    -0.63
    ViewFeatures
    -0.59
     AssemblyCulture
    -0.56
     lenker
    -0.56
    rawdź
    -0.52
     saites
    -0.51
    ♎
    -0.51
    InitVars
    -0.51
    LabelTagHelper
    -0.51
    theoretical
    -0.50
    POSITIVE LOGITS
     San
    0.63
    San
    0.61
     san
    0.57
    ChildScrollView
    0.56
     Diego
    0.53
     SAN
    0.53
    Geplaatst
    0.52
     Francisco
    0.52
    //
    0.51
    zzleHttp
    0.50
    Activations Density 0.062%

    No Known Activations