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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 3-GEMMASCOPE-RES-16K
    6. 16358
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    INDEX
    Explanations

    references to various types of coats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asmussen
    -0.68
     Alfaro
    -0.67
    urgery
    -0.67
     Smash
    -0.64
    rapp
    -0.63
     Kowalski
    -0.63
     mushrooms
    -0.61
    refour
    -0.61
     Savo
    -0.61
    leria
    -0.60
    POSITIVE LOGITS
     coat
    2.58
     Coat
    2.48
     coats
    2.35
    coat
    2.31
    Coat
    2.23
    coats
    1.88
     Coats
    1.74
     coating
    1.73
    coated
    1.72
     Coated
    1.64
    Activations Density 0.176%

    No Known Activations