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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11059
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    Explanations

    references to various sports, particularly football and rugby, as well as notable athletes and their achievements

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

    "football" or sports context

    np_acts-logits-general · gemini-2.0-flash

    football clubs and officials

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.81
     ویکی‌پدی
    -0.63
     oprot
    -0.62
    NameInMap
    -0.61
    tagHelperRunner
    -0.60
     betweenstory
    -0.59
    SharedDtor
    -0.59
    featureID
    -0.57
    principalTable
    -0.56
     propOrder
    -0.56
    POSITIVE LOGITS
     crossorigin
    0.39
     girasol
    0.34
     antemano
    0.32
     forma
    0.32
     tjen
    0.31
     coroa
    0.31
     couronne
    0.30
    hamilan
    0.29
     novedad
    0.29
     doña
    0.29
    Activations Density 0.453%

    No Known Activations