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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 5245
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    references to public transportation stations and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Infórmanos
    -0.70
     '\\;'
    -0.68
     NSCoder
    -0.66
    SourceChecksum
    -0.61
    jsii
    -0.56
    IsContent
    -0.56
    ConstraintMaker
    -0.56
    ьаж
    -0.56
    writeFieldEnd
    -0.55
     CreateTagHelper
    -0.55
    POSITIVE LOGITS
    #+#
    0.31
     stops
    0.31
     stations
    0.30
     stop
    0.30
    MathML
    0.30
    Décès
    0.29
     toppings
    0.27
     passengers
    0.27
    онов
    0.26
     passenger
    0.26
    Activations Density 0.387%

    No Known Activations