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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8592
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    references to specific athletes and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ddelweddau
    -0.45
     fédé
    -0.43
    getSystemService
    -0.43
     BoxFit
    -0.40
    eradish
    -0.38
     exemples
    -0.38
    sizeCache
    -0.37
     autorytatywna
    -0.37
    reebok
    -0.36
    mtrl
    -0.36
    POSITIVE LOGITS
    Geplaatst
    0.50
    PerformLayout
    0.49
     girls
    0.48
    同學
    0.46
     student
    0.46
    endpush
    0.45
     freshman
    0.45
     sophomore
    0.44
    Students
    0.42
    students
    0.42
    Activations Density 0.106%

    No Known Activations