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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 11509
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    INDEX
    Explanations

    terms associated with skiing and snowboarding locations

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

    associated with water or snow sports

    np_acts-logits-general · gemini-2.0-flash

    sports involving riding

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Administrativna
    -0.58
    TargetApi
    -0.57
     HasFactory
    -0.56
    SharedDtor
    -0.56
     JpaRepository
    -0.54
     parachoque
    -0.54
    extAlignment
    -0.54
     kasarigan
    -0.54
    FunctionFlags
    -0.54
    CppMethod
    -0.52
    POSITIVE LOGITS
     ski
    0.84
     skiing
    0.81
     skiers
    0.71
     skier
    0.69
     surfing
    0.69
     surf
    0.67
     skate
    0.65
     snowboard
    0.65
     snowboarding
    0.64
    🏄
    0.63
    Activations Density 0.096%

    No Known Activations