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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9895
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    Explanations

    performance metrics related to football players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.61
     transfieras
    -0.61
    routeProvider
    -0.57
    存于互联网档案馆
    -0.52
    complexContent
    -0.48
     cerebellar
    -0.48
    mobileqq
    -0.48
     cherchés
    -0.47
     informée
    -0.47
    enterOuterAlt
    -0.46
    POSITIVE LOGITS
     sack
    0.45
     sacks
    0.43
     force
    0.42
    HasIndex
    0.40
     pressure
    0.39
     pressures
    0.36
     autorytatywna
    0.35
     Recorded
    0.35
     blit
    0.35
     poursuivre
    0.35
    Activations Density 0.094%

    No Known Activations