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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9378
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    Explanations

    attributes related to footwear design and functionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sistors
    -0.60
    ocument
    -0.59
    
    -0.54
     transistors
    -0.52
     出版
    -0.52
    sipasi
    -0.52
    AndEndTag
    -0.51
     Legs
    -0.51
    hoes
    -0.50
     Blouse
    -0.50
    POSITIVE LOGITS
     mid
    0.65
     fore
    0.63
     upper
    0.60
     heel
    0.59
     StatelessWidget
    0.58
     AssemblyTitle
    0.57
     support
    0.57
    RuleContext
    0.56
     sole
    0.56
     mids
    0.56
    Activations Density 0.141%

    No Known Activations