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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 10792
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    Explanations

    references to standard measurements or norms in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Normal
    -0.60
    Normal
    -0.59
     utafitiHapana
    -0.57
     NORMAL
    -0.57
    -------------</
    -0.57
     disambiguazione
    -0.56
    adaptiveStyles
    -0.54
    normal
    -0.52
     normal
    -0.52
    Rüyada
    -0.51
    POSITIVE LOGITS
     norm
    1.11
    norm
    0.96
     norms
    0.94
    Norm
    0.84
    norms
    0.83
    Nor
    0.80
     Norm
    0.77
     Nor
    0.75
     normes
    0.62
    nor
    0.60
    Activations Density 0.270%

    No Known Activations