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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 5650
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    Explanations

    references to various types of clothing, particularly skirts and dresses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arch
    -0.31
     densely
    -0.30
    HEAD
    -0.30
     Dense
    -0.30
     uns
    -0.30
    发表于
    -0.29
    nala
    -0.29
    ArgumentParser
    -0.29
    box
    -0.29
     dense
    -0.29
    POSITIVE LOGITS
     skirts
    0.81
     Skirt
    0.73
     skirt
    0.71
     Italijanski
    0.70
    ChildScrollView
    0.58
     faldas
    0.58
    skirts
    0.56
    Autoritní
    0.56
    skirt
    0.54
    BagConstraints
    0.53
    Activations Density 0.217%

    No Known Activations