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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. 13532
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    references to military hardware and their specifications

    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
     accesibles
    -0.39
     Infór
    -0.39
    épar
    -0.36
     pinulongan
    -0.36
     Zeugen
    -0.34
     economía
    -0.34
     estructuras
    -0.34
     Schwerpunkt
    -0.34
    sividad
    -0.33
     abierta
    -0.32
    POSITIVE LOGITS
    Hentet
    0.75
     radar
    0.73
     Wikimedijinoj
    0.63
    脚注の使い方
    0.61
    قایناقلار
    0.60
    outState
    0.59
     فريبيس
    0.59
     anti
    0.58
     gynhyrchwyd
    0.58
     Radar
    0.58
    Activations Density 0.215%

    No Known Activations