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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8235
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    INDEX
    Explanations

    specific player statistics and trades in sports contexts

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

    Team names

    np_acts-logits-general · gemini-2.0-flash

    sports teams

    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
    RTEX
    -0.70
    出版年
    -0.69
    casila
    -0.64
    ScopeManager
    -0.63
    endpush
    -0.63
     aikaa
    -0.63
    uxxxx
    -0.62
     ervan
    -0.62
     Pelop
    -0.60
     ProtoMessage
    -0.60
    POSITIVE LOGITS
     Cleveland
    0.88
     Atlanta
    0.85
     Steelers
    0.82
     Detroit
    0.81
     Celtics
    0.81
     Yankees
    0.79
     Philadelphia
    0.79
     Browns
    0.79
     Lakers
    0.79
     Giants
    0.78
    Activations Density 0.425%

    No Known Activations