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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. 9716
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    instances of the particle "を" in the document

    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
     <<<<<<<<<<<<<<
    -0.70
    Manbalar
    -0.68
     StatelessWidget
    -0.64
     Efq
    -0.63
     ThemeData
    -0.62
    IntoConstraints
    -0.60
     Diſ
    -0.60
     itſelf
    -0.58
    ablemente
    -0.58
     jsPsych
    -0.57
    POSITIVE LOGITS
     را
    0.93
    子を
    0.79
     को
    0.77
    ளை
    0.77
    த்தை
    0.74
    ನ್ನು
    0.73
     것을
    0.73
    ceğini
    0.72
    ကို
    0.72
    를
    0.71
    Activations Density 0.200%

    No Known Activations