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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 4821
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    Explanations

    names of individuals, particularly in academic or research contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.62
     للمعارف
    -0.58
    GEBURTSDATUM
    -0.57
    complexContent
    -0.56
     виправивши
    -0.54
     Италијани
    -0.54
     հղումներ
    -0.52
     Вікі
    -0.52
    rrggbb
    -0.52
     propOrder
    -0.51
    POSITIVE LOGITS
     Professor
    0.53
     tackling
    0.47
     expertise
    0.45
     expertly
    0.44
    Profesor
    0.43
     PROFESSOR
    0.42
    刚
    0.42
     Massey
    0.41
    LIMIT
    0.41
     addressing
    0.41
    Activations Density 0.660%

    No Known Activations