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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. 127921
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    Explanations

    semicolons and their frequency in code structures

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

    semicolon

    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
    ppuden
    -0.55
     ویکی‌پدی
    -0.54
    PYX
    -0.52
     ProtoMessage
    -0.49
    Tembelea
    -0.48
    extAlignment
    -0.48
    tomans
    -0.48
    ViewFeatures
    -0.48
     INTERESAR
    -0.48
    /**
    -0.47
    POSITIVE LOGITS
    Personendaten
    0.43
     "";
    0.40
    rawtypes
    0.39
     @"";
    0.38
    __);
    0.36
    ='';
    0.36
    AutoField
    0.35
     "");
    0.35
    sweetalert
    0.34
     [];
    0.34
    Activations Density 0.009%

    No Known Activations