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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. 11848
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    Explanations

    incidents involving vehicles and their specifications

    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
    исленность
    -0.79
     vehicle
    -0.63
    SequentialGroup
    -0.61
    Personendaten
    -0.60
     car
    -0.60
    webElement
    -0.59
    Vehicle
    -0.58
    WireFormatLite
    -0.57
     Vehicle
    -0.56
    omeness
    -0.55
    POSITIVE LOGITS
     Audi
    0.88
     Mercedes
    0.79
     Jaguar
    0.77
     Dodge
    0.77
     BMW
    0.77
     KTM
    0.76
     GMC
    0.75
     Cadillac
    0.75
     VW
    0.75
     Porsche
    0.74
    Activations Density 0.359%

    No Known Activations