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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12892
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    INDEX
    Explanations

    specific sports teams and their performance in games

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

    City names followed by actions or statistics

    np_acts-logits-general · gemini-2.0-flash

    US cities and sports teams

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    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
    posedge
    -0.53
     saites
    -0.47
     فريبيس
    -0.45
     wohnung
    -0.43
     AttributeSet
    -0.43
     Reverso
    -0.42
     girasol
    -0.41
     paix
    -0.40
    Ehrungen
    -0.40
     pandémie
    -0.39
    POSITIVE LOGITS
    SourceChecksum
    0.46
    VIAF
    0.39
    GeoNames
    0.38
    grà
    0.38
    ########.
    0.37
    DrawerToggle
    0.37
     coiff
    0.36
    haven
    0.36
     vastaan
    0.36
     nämlich
    0.35
    Activations Density 0.300%

    No Known Activations