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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10336
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    Explanations

    sequences of genetic markers and primers used in molecular biology techniques

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

    DNA sequences or primers

    np_acts-logits-general · gemini-2.0-flash

    DNA sequences

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.99
     للاسماء
    -0.79
    Diweddarwch
    -0.78
    цездатний
    -0.71
     ſche
    -0.71
     queſta
    -0.70
    parsedMessage
    -0.67
     pleaſure
    -0.66
    isContained
    -0.66
    verifyException
    -0.65
    POSITIVE LOGITS
    脚注の使い方
    0.30
    ”.
    0.30
    <eos>
    0.29
    '.
    0.28
    .”
    0.27
    ’.
    0.27
    ".
    0.26
    ...",
    0.25
     desenvol
    0.25
    .
    0.25
    Activations Density 0.090%

    No Known Activations