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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. 13812
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    references to historical landmarks and preservation efforts

    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
    FunctionFlags
    -0.60
    PMailer
    -0.54
    PyExc
    -0.50
    AnchorStyles
    -0.47
     Савезне
    -0.46
    endpush
    -0.46
     queſta
    -0.45
     (_,
    -0.45
     dags
    -0.43
    adaran
    -0.43
    POSITIVE LOGITS
     Berkeley
    0.76
     Oakland
    0.75
    Berkeley
    0.67
    Oakland
    0.67
     BERKELEY
    0.65
     Alameda
    0.61
    berkeley
    0.54
     BART
    0.54
     Contra
    0.52
     OAK
    0.46
    Activations Density 0.207%

    No Known Activations