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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. 5309
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    Explanations

    performance statistics related to touchdowns and points in sports contexts

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

    scoring in sports

    np_acts-logits-general · gemini-2.0-flash

    touchdowns and goals

    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
     للمعارف
    -0.84
    InjectAttribute
    -0.68
    webElementXpaths
    -0.57
    RTSC
    -0.56
     незавершена
    -0.56
    AndEndTag
    -0.55
    iecie
    -0.54
     disambiguazione
    -0.53
     barbati
    -0.52
    astéro
    -0.51
    POSITIVE LOGITS
     touchdowns
    0.61
     goals
    0.55
     goal
    0.53
     goles
    0.47
     touchdown
    0.46
    goal
    0.42
    GOAL
    0.41
    goals
    0.41
    Välislingid
    0.40
    Goal
    0.39
    Activations Density 0.158%

    No Known Activations