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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 9746
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    references to car brands and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CodedInputStream
    -0.79
    DebuggerNonUser
    -0.63
    DoubleQuotes
    -0.61
     ModelExpression
    -0.58
     AssemblyProduct
    -0.58
    存于互联网档案馆
    -0.57
    ztal
    -0.55
    postsleuth
    -0.55
    Spoljašnje
    -0.54
     Numerade
    -0.54
    POSITIVE LOGITS
     BMW
    1.02
    BMW
    0.90
     xdrive
    0.82
     bmw
    0.81
    bmw
    0.76
     Bavarian
    0.75
     Munich
    0.74
     Bav
    0.72
    宝马
    0.67
     München
    0.67
    Activations Density 0.106%

    No Known Activations