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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 4100
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    references to specific Canadian locations and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EconPapers
    -0.38
    ViewFeatures
    -0.38
    Autoritní
    -0.38
     Tuscan
    -0.37
     Zhang
    -0.37
    Zhang
    -0.36
    nms
    -0.36
     Firenze
    -0.36
     vasco
    -0.34
    bottomRight
    -0.34
    POSITIVE LOGITS
     Canada
    3.02
     Canadian
    3.00
    Canada
    2.77
     Canadians
    2.73
    Canadian
    2.69
     CANADA
    2.53
     Canadá
    2.52
    カナダ
    2.42
     canadian
    2.42
     canada
    2.41
    Activations Density 0.409%

    No Known Activations