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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 14240
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    Explanations

    quantitative data related to precipitation and rainfall metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ویکی‌پدی
    -0.54
     дописавши
    -0.54
    Lähteet
    -0.53
    SequentialGroup
    -0.49
    tagPool
    -0.46
    crollView
    -0.46
    consin
    -0.45
    lapia
    -0.44
     anſ
    -0.44
     ویکی‌پدیا
    -0.44
    POSITIVE LOGITS
     rain
    0.75
     rainfall
    0.69
     rains
    0.65
     precipitation
    0.60
     rained
    0.58
     mưa
    0.56
    Rainfall
    0.56
     Rainfall
    0.56
     lluvias
    0.55
     lluvia
    0.51
    Activations Density 0.274%

    No Known Activations