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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14438
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    Explanations

    names of famous individuals, particularly those related to entertainment and sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     illustrationer
    -0.45
    ViewInit
    -0.43
    pulseira
    -0.42
     skrift
    -0.41
    Минусы
    -0.40
     uș
    -0.40
     zprá
    -0.40
     antidesliz
    -0.39
    icts
    -0.38
    TagMode
    -0.38
    POSITIVE LOGITS
    脚注の使い方
    0.63
     ModelExpression
    0.60
    AndEndTag
    0.56
    ########.
    0.52
     estekak
    0.52
     consultato
    0.52
     utafitiHapana
    0.52
     ويكيميديا
    0.49
     Roskov
    0.48
     مرئيه
    0.48
    Activations Density 0.421%

    No Known Activations