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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 11145
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    Explanations

    mentions of the term "lar" and variations of "leather," as well as references to "din" in the context of products or materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MessageTagHelper
    -0.56
     Réponses
    -0.52
     remit
    -0.52
     Comprom
    -0.52
     grab
    -0.51
     Gateway
    -0.50
     welcoming
    -0.50
     build
    -0.48
     dirty
    -0.48
     setup
    -0.47
    POSITIVE LOGITS
    lar
    0.80
    Lar
    0.64
     Lar
    0.60
     المعيارى
    0.48
    OutputType
    0.48
     lar
    0.47
    LAR
    0.47
    __).
    0.46
     $__
    0.45
    ///</
    0.45
    Activations Density 0.191%

    No Known Activations