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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15885
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    Explanations

    references to large quantities involving people or things, particularly using numerical descriptors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    executeUpdate
    -0.42
    ModelSerializer
    -0.40
     kaarangay
    -0.36
     concur
    -0.36
     Obrador
    -0.35
    thâu
    -0.35
     dollar
    -0.35
    もしれない
    -0.35
    ември
    -0.34
     limit
    -0.34
    POSITIVE LOGITS
     dozens
    2.03
     hundreds
    1.95
     thousands
    1.90
     countless
    1.87
    hundreds
    1.85
    thousands
    1.75
     millions
    1.66
     Hundreds
    1.59
    Hundreds
    1.59
     numerous
    1.55
    Activations Density 0.256%

    No Known Activations