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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 1-GEMMASCOPE-RES-16K
    6. 14934
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    Explanations

    the particle "を" (wo), which indicates the object of a sentence in Japanese

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     purpoſe
    -1.02
     houſe
    -0.95
     Jefus
    -0.94
     itſelf
    -0.92
     pleaſure
    -0.92
     Chriftian
    -0.91
     myſelf
    -0.89
     Chriſt
    -0.89
     Monfieur
    -0.88
     iſt
    -0.87
    POSITIVE LOGITS
    を
    2.55
    를
    2.00
    을
    1.93
     を
    1.59
     를
    1.38
    いを
    1.36
     을
    1.35
    子を
    1.32
    りを
    1.30
    曲を
    1.20
    Activations Density 0.018%

    No Known Activations