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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 83926
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    INDEX
    Explanations

    mentions of the NumPy and pandas libraries in code snippets

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

    numpy and np usage

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ftagPool
    -0.48
    KommentareTeilen
    -0.45
     kaarangay
    -0.43
    setVerticalGroup
    -0.40
    MessageOf
    -0.38
     consultato
    -0.38
    complexType
    -0.37
    getStringExtra
    -0.37
    transQ
    -0.37
     Emits
    -0.35
    POSITIVE LOGITS
     numpy
    0.73
    ########.
    0.67
    numpy
    0.56
     cappuccio
    0.55
     implementación
    0.54
     arreglos
    0.52
    oinette
    0.52
     SIMBAD
    0.51
    gique
    0.49
     escolares
    0.48
    Activations Density 0.001%

    No Known Activations