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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 4890
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    statistical data and metrics related to demographics and populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kuuta
    -0.41
    سطس
    -0.35
     Вікіпе
    -0.33
    رشف
    -0.32
     informée
    -0.32
    MessageTagHelper
    -0.31
    アント
    -0.31
    enumii
    -0.28
    JAXB
    -0.28
    WriteLiteral
    -0.28
    POSITIVE LOGITS
     average
    3.50
    average
    3.06
    Average
    3.00
     Average
    3.00
     AVERAGE
    2.75
    平均
    2.70
     avg
    2.63
    AVERAGE
    2.63
     averaged
    2.63
     averages
    2.61
    Activations Density 1.788%

    No Known Activations