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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 512
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    Explanations

    references to sports victories and match outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.40
    ंदीखरीदारी
    -0.33
    牡丹
    -0.33
    作用
    -0.32
    renza
    -0.32
    opus
    -0.32
    cursors
    -0.31
     作用
    -0.31
    iostream
    -0.31
    örgy
    -0.31
    POSITIVE LOGITS
     victory
    2.89
     winning
    2.72
     win
    2.69
     wins
    2.64
     victories
    2.42
     winner
    2.33
    victory
    2.30
     winners
    2.28
     victorious
    2.27
     Winning
    2.25
    Activations Density 0.481%

    No Known Activations