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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2348
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    INDEX
    Explanations

    names of people or characters, particularly those starting with "Ju" or "Jur"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ⓧ
    -0.36
     Lamp
    -0.34
     Fire
    -0.33
     lamp
    -0.32
     fine
    -0.32
     chain
    -0.31
    OWER
    -0.30
     spett
    -0.29
     saudável
    -0.29
    setField
    -0.29
    POSITIVE LOGITS
    Ju
    0.77
     estekak
    0.75
     Ju
    0.68
    ValueStyle
    0.68
     ju
    0.67
     JU
    0.63
    ju
    0.58
    Jude
    0.58
     оригіналу
    0.58
    Judi
    0.57
    Activations Density 0.145%

    No Known Activations