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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 7256
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    names of individuals and their associated accomplishments or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rhestr
    -0.38
    RTEX
    -0.37
    PyTuple
    -0.36
    writeFieldEnd
    -0.35
    Література
    -0.34
    hoeddwyd
    -0.34
    簗
    -0.32
     Belize
    -0.31
    SourceChecksum
    -0.31
    ContextHolder
    -0.30
    POSITIVE LOGITS
     Japanese
    1.99
     Japan
    1.88
    Japanese
    1.71
    Japan
    1.67
     JAPAN
    1.65
     japanese
    1.63
     japan
    1.61
     япон
    1.59
     Japón
    1.59
     Tokyo
    1.56
    Activations Density 2.984%

    No Known Activations