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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 7240
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    Japanese phrases and expressions related to communication and interaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    __":
    -0.54
    FunctionFlags
    -0.51
    PYX
    -0.50
    ことにしました
    -0.50
     चीज़ों
    -0.48
    ことができます
    -0.48
    PyExc
    -0.47
    MetaObject
    -0.46
    のですね
    -0.46
    ことができました
    -0.45
    POSITIVE LOGITS
    と
    0.68
     said
    0.68
     diye
    0.61
    という
    0.60
     என்று
    0.58
    Said
    0.57
     dijo
    0.51
     என்ற
    0.50
    との
    0.49
    said
    0.49
    Activations Density 0.064%

    No Known Activations