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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 7000
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    function declarations and their expected behaviors in code snippets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     kasarigan
    -0.90
     ویکی‌پدی
    -0.88
     queſta
    -0.76
    FunctionFlags
    -0.73
    ніципа
    -0.70
    OGND
    -0.69
     otomatig
    -0.69
     Савезне
    -0.67
    FormTagHelper
    -0.67
    قایناق‌لار
    -0.67
    POSITIVE LOGITS
     the
    0.42
     
    0.35
    ,
    0.35
     About
    0.32
     also
    0.32
     are
    0.31
     A
    0.31
     L
    0.30
     J
    0.30
     The
    0.30
    Activations Density 0.499%

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