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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. 5473
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    Explanations

    terms related to running backs in football

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

    Preceding "back", "user", or relating to running/rushing

    np_acts-logits-general · gemini-2.0-flash

    running back or rushing yards

    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
    Personendaten
    -0.69
    ########.
    -0.63
    новништво
    -0.59
    PreferredItem
    -0.56
     समीक्षाओं
    -0.52
     مشين
    -0.51
    delwed
    -0.50
     utafitiHapana
    -0.49
     invokingState
    -0.49
    parsedMessage
    -0.49
    POSITIVE LOGITS
     beef
    0.40
     lập
    0.37
     porous
    0.36
    ftagPool
    0.35
     HAT
    0.33
     solidified
    0.33
     Meat
    0.33
     aspetta
    0.33
     Dau
    0.33
     miel
    0.33
    Activations Density 0.202%

    No Known Activations