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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1272
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    references to diverse literary figures and their works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IBOutlet
    -0.47
     bomberos
    -0.40
     StatelessWidget
    -0.38
     NSCoder
    -0.38
    ModelAdmin
    -0.38
     ralla
    -0.36
     Catawiki
    -0.36
    makeConstraints
    -0.36
     jesús
    -0.36
    MENAFN
    -0.35
    POSITIVE LOGITS
     novelists
    0.64
     writers
    0.63
     authors
    0.61
     Cervantes
    0.57
    作家
    0.57
     escritores
    0.57
     Kipling
    0.55
    writers
    0.54
     scrittore
    0.54
     autori
    0.53
    Activations Density 0.241%

    No Known Activations