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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. 41823
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    Explanations

    references to convolutional layers and operations in neural network architecture

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

    conviction or convolution

    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
     חיצוניים
    -0.54
    detectChanges
    -0.54
    EFIAPI
    -0.52
    ătate
    -0.49
    chtigkeit
    -0.46
     يتيمه
    -0.46
     esternos
    -0.46
    __*/
    -0.45
    czaj
    -0.45
     séjours
    -0.44
    POSITIVE LOGITS
    Conv
    2.84
     Conv
    2.31
    conv
    1.72
     conv
    1.39
    CONV
    1.35
     CONV
    1.34
    Convolution
    1.05
     convolution
    1.00
    convolution
    0.98
     Convolution
    0.97
    Activations Density 0.002%

    No Known Activations