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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11883
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    references to sports teams and competition outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    transQ
    -0.64
    fromnode
    -0.56
    ientôt
    -0.55
     yelek
    -0.52
    Getenv
    -0.52
    domada
    -0.51
     eşofman
    -0.50
     betweenstory
    -0.49
     saurait
    -0.48
     Signalez
    -0.48
    POSITIVE LOGITS
    ⓧ
    0.50
     VIDEOTAPE
    0.40
    /**
    0.39
     last
    0.38
    >{@
    0.38
     shut
    0.36
    testify
    0.36
     lenker
    0.35
     despite
    0.35
    classNames
    0.35
    Activations Density 0.183%

    No Known Activations