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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 11960
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    references to various types of neural network architectures and their components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    :✨
    -0.47
     EconPapers
    -0.43
    __::
    -0.41
    Rescue
    -0.41
    PHeader
    -0.40
     Administrativna
    -0.39
    rungsseite
    -0.39
     prioritizing
    -0.39
    mks
    -0.38
     panto
    -0.38
    POSITIVE LOGITS
     neural
    0.91
     neurons
    0.81
     Neural
    0.79
     neuron
    0.77
    神经
    0.72
    neural
    0.71
    Neural
    0.70
     neuronal
    0.69
     activation
    0.67
     weights
    0.66
    Activations Density 0.286%

    No Known Activations