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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15364
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    references to mistakes or errors in a programming context, particularly with a focus on Japanese language nuances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    -
    -0.44
    un
    -0.35
    as
    -0.35
    B
    -0.34
    is
    -0.34
    p
    -0.34
    ,
    -0.34
     Vors
    -0.33
    for
    -0.32
    c
    -0.32
    POSITIVE LOGITS
    :✨
    1.04
     EconPapers
    1.03
    rungsseite
    0.98
     estekak
    0.97
     ModelExpression
    0.94
     NSCoder
    0.94
    AddTagHelper
    0.93
     виправивши
    0.93
    styleType
    0.93
    Personendaten
    0.93
    Activations Density 0.040%

    No Known Activations