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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 9589
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    information related to professional football players, specifically their clubs and career details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    richTextPanel
    -0.75
    AnimationsModule
    -0.61
    tshire
    -0.57
    addCriterion
    -0.57
     متعلقه
    -0.57
    🟤
    -0.56
     betweenstory
    -0.56
    berdayakan
    -0.56
    principalTable
    -0.55
     ProtoMessage
    -0.54
    POSITIVE LOGITS
     Ronaldo
    0.49
     Barcelona
    0.47
     Messi
    0.46
    riezmann
    0.42
     Cristiano
    0.40
    Ronaldo
    0.40
    Barcelona
    0.39
    celotti
    0.38
     natural
    0.37
     Benzema
    0.36
    Activations Density 0.267%

    No Known Activations