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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 17018
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    Explanations

    references to wheels and their specifications in vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     الحره
    -0.82
     VIDEOTAPE
    -0.69
    CreateModel
    -0.67
    KEYCODE
    -0.63
    énario
    -0.63
    protoimpl
    -0.62
    HandlerContext
    -0.61
    })*/
    -0.60
     AssemblyCompany
    -0.60
    farwyddwr
    -0.59
    POSITIVE LOGITS
     rims
    0.85
     wheels
    0.63
     velg
    0.60
     tyres
    0.56
     rim
    0.54
     snows
    0.54
     plating
    0.53
    sport
    0.52
    WHE
    0.51
     bling
    0.50
    Activations Density 0.011%

    No Known Activations