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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 0-GEMMASCOPE-RES-65K
    11. 12876
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    Explanations

    mentions of cities, particularly Toronto

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_65k/average_l0_73
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awtextra
    -0.66
    HasKey
    -0.65
     AssemblyCulture
    -0.63
    erover
    -0.62
    ForValue
    -0.59
     Roskov
    -0.58
     propOrder
    -0.57
    ValueStyle
    -0.56
     collectons
    -0.56
    ]")]
    -0.54
    POSITIVE LOGITS
     Mumbai
    1.90
     Nairobi
    1.86
     Bangkok
    1.85
     Toronto
    1.80
     Delhi
    1.77
     Seoul
    1.75
     Johannesburg
    1.73
     London
    1.71
    Toronto
    1.69
     Tokyo
    1.68
    Activations Density 0.067%

    No Known Activations