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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 10745
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    Explanations

    references to materials used in construction and food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ostream
    -0.46
     dran
    -0.45
     controller
    -0.44
     Conway
    -0.44
    ARKS
    -0.44
     Barnes
    -0.43
    Transcript
    -0.43
     aman
    -0.42
     صفحۀ
    -0.41
     rog
    -0.41
    POSITIVE LOGITS
     bordado
    0.75
    Sculpture
    0.68
     cerámica
    0.68
     soldadura
    0.67
     plegable
    0.66
     embroidery
    0.65
     Embroidery
    0.65
     bordados
    0.65
     Bakery
    0.65
     ceramic
    0.65
    Activations Density 0.333%

    No Known Activations