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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 5793
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    references to arms and brands in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    -------
    -0.47
     bezig
    -0.34
     filesystem
    -0.32
     jsonString
    -0.32
     обна
    -0.32
    Filesystem
    -0.31
    Hibernate
    -0.31
     FileWriter
    -0.31
     FileReader
    -0.30
    MENAFN
    -0.30
    POSITIVE LOGITS
     brands
    0.85
    LookAnd
    0.75
    CppMethod
    0.73
     Brands
    0.72
     apps
    0.66
    Brands
    0.65
    brands
    0.62
     platforms
    0.60
     fitting
    0.60
    SharedDtor
    0.59
    Activations Density 0.110%

    No Known Activations