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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 1828
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    modal verbs and their usage in German

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Económica
    -0.53
     éclairage
    -0.47
     Segurança
    -0.46
     inscrição
    -0.46
     OnInit
    -0.44
     béisbol
    -0.44
     فريبيس
    -0.43
     mármol
    -0.43
    Diweddarwch
    -0.42
    DeleteBehavior
    -0.42
    POSITIVE LOGITS
     buzz
    0.44
     chofe
    0.44
     pseud
    0.43
     clou
    0.40
     dez
    0.40
     pend
    0.40
     lobby
    0.40
     mast
    0.39
     strom
    0.39
    Abo
    0.39
    Activations Density 0.087%

    No Known Activations