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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 11408
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    Explanations

    names of individuals, particularly in the context of Korean names and their associations

    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
     itſelf
    -1.27
     myſelf
    -1.25
    BibitemShut
    -1.13
     Efq
    -1.09
     doubtnut
    -1.02
     faſt
    -1.01
     raiſ
    -1.01
     ―――――
    -0.99
    MLLoader
    -0.97
     ་་
    -0.97
    POSITIVE LOGITS
     Li
    0.69
     Lu
    0.69
     Zhang
    0.68
     Ma
    0.67
     Wang
    0.62
     Xu
    0.62
    Lu
    0.61
    Zhang
    0.61
    Li
    0.60
     Chen
    0.60
    Activations Density 0.370%

    No Known Activations