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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. 13709
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    Explanations

    mentions of talent development and nurturing young talent

    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
     wireType
    -0.47
    AccessorTable
    -0.41
    verifyException
    -0.41
     OFDb
    -0.40
    :✨
    -0.39
     tetrachloride
    -0.37
    GEBURTSDATUM
    -0.37
    wapV
    -0.37
    دانشنامهٔ
    -0.36
    réhen
    -0.36
    POSITIVE LOGITS
     talent
    2.92
     talents
    2.56
    talent
    2.44
     talento
    2.42
     Talent
    2.31
    Talent
    2.28
     talented
    2.27
     talentos
    2.25
     талан
    2.09
     Talents
    2.06
    Activations Density 0.289%

    No Known Activations