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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9805
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    Explanations

    references to motorsport events and notable drivers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.81
    SPATH
    -0.68
    ValueStyle
    -0.66
     Import
    -0.64
    Skocz
    -0.63
    RegistryLite
    -0.63
    راسیون
    -0.63
     import
    -0.62
     Imported
    -0.60
    __(/*!
    -0.60
    POSITIVE LOGITS
     Formula
    0.71
     McLaren
    0.66
     Vettel
    0.63
    Formula
    0.62
     Mercedes
    0.62
     Renault
    0.56
     F
    0.56
     FORMULA
    0.56
     Prost
    0.55
     Lewis
    0.55
    Activations Density 0.126%

    No Known Activations