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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 1274
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    occurrences of the particle 'を' in Japanese sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_11/width_16k/average_l0_80
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Efq
    -1.05
     itſelf
    -1.03
     Reſ
    -0.96
     Jefus
    -0.95
     Chriftian
    -0.92
     Diſ
    -0.91
     Monfieur
    -0.91
     iſt
    -0.90
     houſe
    -0.89
     Majefty
    -0.89
    POSITIVE LOGITS
     को
    0.78
     را
    0.77
    ığını
    0.72
    ceğini
    0.72
    த்தை
    0.71
    音を
    0.70
    larını
    0.70
    devamını
    0.69
    みを
    0.69
    名を
    0.68
    Activations Density 0.059%

    No Known Activations