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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. 6746
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    specific terms and metrics associated with microbial diversity and abundance in various environmental samples

    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
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.49
    __(/*!
    -0.49
     ModelRenderer
    -0.47
    ChildScrollView
    -0.47
    GeoNames
    -0.45
    esModule
    -0.45
     ObjectParameter
    -0.44
    الحياه
    -0.42
     Hearn
    -0.42
     pleaſure
    -0.42
    POSITIVE LOGITS
     microbial
    0.84
     microbiota
    0.76
     Microbial
    0.71
     microbiome
    0.71
     bacterial
    0.67
    microbial
    0.66
     Bacteria
    0.64
     bacteria
    0.62
     microbes
    0.61
    Bacteria
    0.59
    Activations Density 1.094%

    No Known Activations