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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5077
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    的话
    -0.55
    ،
    -0.47
    ，
    -0.45
     ،
    -0.40
     للاسماء
    -0.39
    的話
    -0.38
    “
    -0.38
    的水
    -0.38
    velocityY
    -0.37
    的他
    -0.36
    POSITIVE LOGITS
    而且
    0.86
    而
    0.82
    如果
    0.81
    但
    0.81
    但是
    0.72
    并且
    0.70
     sedangkan
    0.69
    这是
    0.68
     그리고
    0.68
    MigrationBuilder
    0.68
    Activations Density 0.019%

    No Known Activations