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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. 12064
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    references to masks used in manufacturing processes

    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
     ब्रेकडाउन
    -0.53
    postIndex
    -0.49
     незавершена
    -0.49
    Архівовано
    -0.47
    contentLoaded
    -0.47
    原始内容存档于
    -0.46
    évaluateur
    -0.45
     BufferedReader
    -0.45
    principalTable
    -0.44
     tục
    -0.43
    POSITIVE LOGITS
     mask
    2.27
    mask
    2.06
     Mask
    2.05
    Mask
    2.05
     masks
    1.80
     MASK
    1.79
    MASK
    1.69
     Masks
    1.61
    Masks
    1.51
    masks
    1.49
    Activations Density 0.206%

    No Known Activations