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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10430
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    Explanations

    technical specifications and details related to vehicles, particularly muscle cars

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    发表于
    -0.37
    ustimmung
    -0.35
    glBindTexture
    -0.34
    TableHead
    -0.33
     akal
    -0.32
     memo
    -0.32
    ingga
    -0.32
    wesen
    -0.32
    Dia
    -0.31
     Correa
    -0.31
    POSITIVE LOGITS
     body
    0.84
     fender
    0.83
     fenders
    0.77
     bodys
    0.77
     bumper
    0.72
     hood
    0.71
    fender
    0.71
     Body
    0.71
     trunk
    0.70
     panels
    0.69
    Activations Density 0.183%

    No Known Activations