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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 1734
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    Explanations

    keywords and features related to vehicles, particularly focusing on model names and specs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.69
    *{
    -0.56
    tanleria
    -0.52
     Roskov
    -0.51
    GEBURTS
    -0.50
    CodedInputStream
    -0.50
    AddRange
    -0.48
     pinulongan
    -0.47
    hammad
    -0.47
    SharedDtor
    -0.47
    POSITIVE LOGITS
    ViewFeatures
    0.73
    ashqai
    0.67
     समीक्षाओं
    0.62
    TacToe
    0.62
     Corolla
    0.61
     SwitchCompat
    0.60
     culturelles
    0.60
     sedan
    0.58
     hatchback
    0.58
     Passat
    0.58
    Activations Density 0.148%

    No Known Activations