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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9020
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    INDEX
    Explanations

    references to sports teams or players

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

    Sports positions

    np_acts-logits-general · gemini-2.0-flash

    sports positions (e.g. quarterback)

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BagLayout
    -0.69
    EndContext
    -0.67
    脚注の使い方
    -0.66
    IonicModule
    -0.63
    BeginContext
    -0.62
     [*]
    -0.57
    })();
    -0.56
    енча
    -0.54
    ForType
    -0.54
    ToMany
    -0.54
    POSITIVE LOGITS
     center
    0.68
     ComVisible
    0.65
     midfield
    0.59
     rover
    0.55
     FLEX
    0.54
     slot
    0.53
     wing
    0.53
     forward
    0.52
     point
    0.52
     centre
    0.51
    Activations Density 0.147%

    No Known Activations