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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 3712
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    INDEX
    Explanations

    references to hockey and soccer in the context of sports achievements or categories

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

    soccer and football

    np_acts-logits-general · gemini-2.0-flash

    sports entities and participants

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 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
     ddelweddau
    -0.54
    jsxFileName
    -0.53
     kasarigan
    -0.52
    号
    -0.48
    __*/
    -0.47
     humanidade
    -0.45
     Anlass
    -0.45
    號
    -0.44
     sogget
    -0.44
    klärt
    -0.43
    POSITIVE LOGITS
     soccer
    0.74
     FOOTBALL
    0.70
     Soccer
    0.66
    soccer
    0.65
    Soccer
    0.63
    Football
    0.63
    Basketball
    0.63
     hockey
    0.62
     Football
    0.61
     Hockey
    0.61
    Activations Density 0.152%

    No Known Activations