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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 33-GEMMASCOPE-RES-16K
    6. 8969
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    terms related to automotive specifications and innovations

    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
     vectorielle
    -0.58
     cdti
    -0.52
     vetorial
    -0.49
    期刊论文
    -0.48
     Bupati
    -0.48
     cardiaque
    -0.47
     Moose
    -0.47
     vectorielles
    -0.46
     acrylique
    -0.44
    CompilerServices
    -0.44
    POSITIVE LOGITS
     Mercedes
    0.93
     AMG
    0.82
     Benz
    0.77
    Mercedes
    0.75
     mercedes
    0.71
    Benz
    0.67
    mercedes
    0.67
     amg
    0.65
    奔驰
    0.65
     benz
    0.63
    Activations Density 0.226%

    No Known Activations