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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. 14411
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    Explanations

    references to breakfast items and their quality or preparation

    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
    ंदीखरीदारी
    -0.51
    eamiento
    -0.49
    潜水
    -0.49
    Pele
    -0.46
     Ehrlich
    -0.45
     DIR
    -0.45
    UnsafeEnabled
    -0.44
    EntryPoint
    -0.44
     Phar
    -0.44
    ikum
    -0.43
    POSITIVE LOGITS
     pancakes
    1.14
     breakfast
    1.13
     eggs
    1.03
     Eggs
    1.03
     Breakfast
    0.98
     Pancakes
    0.97
     pancake
    0.96
    Eggs
    0.94
    Breakfast
    0.92
    breakfast
    0.90
    Activations Density 0.102%

    No Known Activations