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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8010
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    identifiers and parameter names used in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    /**
    -0.66
    Rhestr
    -0.64
    脚注の使い方
    -0.64
     يتيمه
    -0.62
    parsedMessage
    -0.59
    قایناق‌لار
    -0.58
    expandindo
    -0.56
    ništ
    -0.56
     ddelweddau
    -0.54
     uſe
    -0.52
    POSITIVE LOGITS
     value
    0.40
     string
    0.40
    string
    0.39
    对应的
    0.39
    String
    0.38
    Prefix
    0.38
    Suffix
    0.37
     prefix
    0.37
    suffix
    0.37
     quoted
    0.37
    Activations Density 0.536%

    No Known Activations