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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. 5879
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    Explanations

    references to various types of powder, particularly in scientific 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
    AsUp
    -0.61
    :✨
    -0.57
    ⓧ
    -0.56
     ProtoMessage
    -0.55
    verwijspagina
    -0.52
     Савезне
    -0.52
     &___
    -0.51
    KommentareTeilen
    -0.51
     ujednoznacz
    -0.50
     ویکی‌پدی
    -0.49
    POSITIVE LOGITS
     waters
    0.77
     powder
    0.64
     powders
    0.62
     dust
    0.61
     polvo
    0.57
    waters
    0.54
     WATERS
    0.54
    dust
    0.53
     Ash
    0.52
     cuisine
    0.52
    Activations Density 0.469%

    No Known Activations