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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. 82025
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    INDEX
    Explanations

    the occurrence of the word "which"

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

    which followed by verb

    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
    WithIOException
    -0.64
    WireFormatLite
    -0.59
     ویکی‌پدی
    -0.57
     MainAxisSize
    -0.57
    RTEE
    -0.57
    hoeddwyd
    -0.56
     AssemblyCulture
    -0.56
    jspb
    -0.56
    Enllaces
    -0.56
    addCriterion
    -0.55
    POSITIVE LOGITS
    Taking
    0.38
     Taking
    0.36
     Moscou
    0.35
     الجمه
    0.34
    wieś
    0.33
    viertel
    0.33
    lorus
    0.33
    商品説明
    0.32
     Suez
    0.32
     anatom
    0.32
    Activations Density 0.042%

    No Known Activations