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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. 7713
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    numerical values and identifiers, particularly in a technical or scientific context

    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
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    Negative Logits
     समीक्षाएं
    -0.48
    tonode
    -0.47
    WebElementEntity
    -0.47
    embatan
    -0.45
     pungkas
    -0.43
    TintMode
    -0.43
     aldea
    -0.42
     Bischof
    -0.42
     MEASURE
    -0.42
     pasada
    -0.41
    POSITIVE LOGITS
    ″
    0.64
    ′
    0.60
    ″]
    0.58
    әрмәләр
    0.58
     nahilalakip
    0.52
    +#+#
    0.49
     snippetHide
    0.45
    ValueStyle
    0.44
    PyExc
    0.43
    fjspx
    0.41
    Activations Density 0.957%

    No Known Activations