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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 12373
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    references and citation details in documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ***!
    -0.79
    SharedDtor
    -0.77
     kaarangay
    -0.73
    MessageOf
    -0.66
    PyExc
    -0.59
    LabelTagHelper
    -0.57
    richTextPanel
    -0.57
    Chham
    -0.56
    ⟬
    -0.55
     Wikimedijinoj
    -0.54
    POSITIVE LOGITS
    CrossRef
    1.14
     Google
    0.58
    Google
    0.52
    PubMed
    0.45
     google
    0.42
     PubMed
    0.39
     CiNii
    0.39
    google
    0.39
    ][
    0.35
    谷歌
    0.35
    Activations Density 0.299%

    No Known Activations