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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 37550
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    Explanations

    terms related to running and rushing in a football context

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

    rushing yards touchdowns

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     siku
    -0.37
     schicken
    -0.36
     accidents
    -0.35
     conhece
    -0.35
    ChangeListener
    -0.34
    Local
    -0.33
    イプ
    -0.33
     jahre
    -0.33
     neuesten
    -0.33
    iecie
    -0.33
    POSITIVE LOGITS
     rushing
    0.91
     Chwiliwch
    0.60
     rushed
    0.57
    Sucesor
    0.52
    Hochspringen
    0.52
    SharedDtor
    0.50
    Numerology
    0.50
    featureID
    0.49
    SourceChecksum
    0.49
    EDEFAULT
    0.47
    Activations Density 0.006%

    No Known Activations