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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1218
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    names of notable athletes and their achievements in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dø
    -0.40
     kiin
    -0.32
     sää
    -0.32
    iosamente
    -0.32
     základní
    -0.31
    ÇO
    -0.31
     continuation
    -0.31
    chluss
    -0.31
     universel
    -0.31
     Versuch
    -0.30
    POSITIVE LOGITS
    protoimpl
    0.60
    SharedCtor
    0.58
    ValueStyle
    0.56
    +#+#
    0.56
    SequentialGroup
    0.52
     Retired
    0.52
    retired
    0.52
    InjectAttribute
    0.52
     retired
    0.51
    InputTagHelper
    0.50
    Activations Density 0.225%

    No Known Activations