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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. 9966
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    references to common and essential dietary minerals and nutrients

    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
    UserScript
    -0.65
     समीक्षक
    -0.63
    rungsseite
    -0.57
     queſta
    -0.56
    ocarditis
    -0.55
     useAppContext
    -0.54
    icitis
    -0.54
     ſont
    -0.54
     مشين
    -0.54
    MODO
    -0.53
    POSITIVE LOGITS
     popular
    0.42
     ancient
    0.41
     commonly
    0.36
     widely
    0.34
     Germanic
    0.34
    ancient
    0.34
     versatile
    0.33
    popular
    0.32
     staple
    0.32
     notoriously
    0.32
    Activations Density 1.147%

    No Known Activations