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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 11352
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    Explanations

    specific references to different types of biological tissues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ⓧ
    -0.47
     Vander
    -0.46
     المعيارى
    -0.45
    MessageOf
    -0.45
     Kon
    -0.44
    primera
    -0.43
    Références
    -0.42
    Jeografia
    -0.42
     comand
    -0.42
    Manbalar
    -0.42
    POSITIVE LOGITS
     Tissue
    0.76
    Tissue
    0.75
     Tissues
    0.75
     tissue
    0.71
     tissues
    0.70
    tissue
    0.66
    styleType
    0.61
     pixels
    0.61
     Pixel
    0.60
     Gewebe
    0.60
    Activations Density 0.136%

    No Known Activations