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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 23-GEMMASCOPE-RES-16K
    6. 9093
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    Explanations

    specific types of layers used in material science and engineering contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roskov
    -0.82
    RenderAtEndOf
    -0.80
     ivelany
    -0.77
    TagMode
    -0.69
    IntoConstraints
    -0.65
     FetchType
    -0.65
    ьаж
    -0.62
     pageable
    -0.59
     فريبيس
    -0.58
    posedge
    -0.58
    POSITIVE LOGITS
     layer
    2.79
     layers
    2.53
    layer
    2.36
     Layer
    2.33
    Layer
    2.17
     LAYER
    2.17
     Layers
    2.15
     thickness
    2.14
    layers
    1.98
     thin
    1.95
    Activations Density 1.067%

    No Known Activations