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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 4107
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    Explanations

    specific types of statistical error rates in data sequences

    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
     noDo
    -0.68
     consultato
    -0.61
    kuuta
    -0.60
    SourceChecksum
    -0.60
     AssemblyVersion
    -0.60
     ligiloj
    -0.59
    AndEndTag
    -0.57
     الرياضيه
    -0.56
     NSCoder
    -0.56
    bibinfo
    -0.55
    POSITIVE LOGITS
    ST
    0.78
     ST
    0.70
     fishing
    0.53
     Fishing
    0.47
     nevertheless
    0.47
     decorazione
    0.40
     pesca
    0.39
     FISHING
    0.39
     montagna
    0.38
    Fishing
    0.36
    Activations Density 0.127%

    No Known Activations