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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1081
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    proper nouns, particularly names of researchers and authors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RectangleBorder
    -0.41
    ViewFeatures
    -0.38
    RenderAtEndOf
    -0.38
     compañ
    -0.37
     incluyendo
    -0.35
     מוע
    -0.34
     Achter
    -0.34
     quedado
    -0.33
     largas
    -0.33
     anunci
    -0.32
    POSITIVE LOGITS
     nakalista
    0.56
    原始内容存档于
    0.55
    новништво
    0.52
    HtmlAttribute
    0.51
     estekak
    0.49
    ſel
    0.49
     ModelExpression
    0.49
     Enix
    0.49
    MessageOf
    0.49
     fusca
    0.48
    Activations Density 0.309%

    No Known Activations