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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12896
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    Explanations

    detailed descriptions of infrastructure and transportation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     railroad
    -0.84
     railway
    -0.81
     railroads
    -0.78
     railways
    -0.78
     train
    -0.77
     Railroads
    -0.74
     transportation
    -0.72
    railway
    -0.69
    transportation
    -0.67
     Railroad
    -0.65
    POSITIVE LOGITS
    revenue
    0.38
     βα
    0.38
    adhy
    0.38
     tụ
    0.37
     signaling
    0.37
     signal
    0.37
    /**
    0.36
    {"{
    0.36
     ویکی‌آمباردا
    0.35
    lasher
    0.35
    Activations Density 0.277%

    No Known Activations