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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 7597
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    Explanations

    terms related to transportation, infrastructure, and environmental impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atguigu
    -0.32
    قایناقلار
    -0.32
     (;;
    -0.31
    
    -0.29
    خطيط
    -0.29
     ""],
    -0.29
     Abends
    -0.29
     Coss
    -0.29
    zarchiwizowane
    -0.28
    新浪
    -0.28
    POSITIVE LOGITS
     transport
    2.89
     transportation
    2.63
    transport
    2.53
     Transport
    2.41
    Transport
    2.36
     transporte
    2.33
     TRANSPORT
    2.30
     transports
    2.30
    transportation
    2.25
     transporting
    2.16
    Activations Density 0.725%

    No Known Activations