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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. 3018
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    Explanations

    references to different types of sand and its applications

    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
    rungsseite
    -0.62
     Melayu
    -0.48
    NonQuery
    -0.47
    engesch
    -0.47
    verket
    -0.47
    Kariera
    -0.47
     Kral
    -0.46
     Gallimard
    -0.45
     propOrder
    -0.45
    yttä
    -0.45
    POSITIVE LOGITS
     sand
    0.74
     Sand
    0.68
    Sand
    0.65
     dirt
    0.63
    ras
    0.60
     dune
    0.59
    dirt
    0.58
    sand
    0.56
    Dirt
    0.54
    Ras
    0.54
    Activations Density 0.609%

    No Known Activations