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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3746
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    specific entities related to pharmacology and medical terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    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
     miniaturka
    -0.47
    invokeLater
    -0.46
    ighborhood
    -0.46
     bellezza
    -0.43
     мәкалә
    -0.42
    RenderAtEndOf
    -0.42
     canst
    -0.42
    webElement
    -0.40
    artifactId
    -0.40
    POSITIVE LOGITS
    bing
    0.83
    bed
    0.71
    bs
    0.56
    ber
    0.54
    ben
    0.54
    bin
    0.50
    bf
    0.50
     Cb
    0.50
    b
    0.49
    bi
    0.49
    Activations Density 1.541%

    No Known Activations