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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. 7484
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    Explanations

    references to the name "Ram" and related 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
    parsedMessage
    -0.54
    Datuak
    -0.52
    ########.
    -0.52
    othelial
    -0.48
    aarrggbb
    -0.48
    ंदीखरीदारी
    -0.47
    thumbnails
    -0.47
    cellation
    -0.46
    izare
    -0.46
    出版年
    -0.46
    POSITIVE LOGITS
     Ram
    1.27
    Ram
    1.16
     ram
    1.12
     Ramsey
    0.90
     RAM
    0.88
    RAM
    0.81
     राम
    0.79
    ram
    0.71
     Rams
    0.69
     rams
    0.68
    Activations Density 0.406%

    No Known Activations