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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12119
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    Explanations

    references to bags and their various uses and attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    belec
    -0.38
     balcón
    -0.36
    nyata
    -0.36
     بحر
    -0.36
     actualité
    -0.35
    InjectAttribute
    -0.33
     memen
    -0.33
    Externé
    -0.32
    specialchars
    -0.32
    impianto
    -0.32
    POSITIVE LOGITS
     bag
    2.19
     bags
    2.11
     Bags
    1.89
    Bags
    1.80
    bag
    1.77
     Bag
    1.76
    bags
    1.74
    Bag
    1.73
     backpack
    1.66
     backpacks
    1.66
    Activations Density 0.181%

    No Known Activations