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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 0-GEMMASCOPE-RES-16K
    6. 9400
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    phrases related to physical exercise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ">//
    -0.52
    wissen
    -0.45
    Ligações
    -0.43
    razit
    -0.43
     personage
    -0.42
     londres
    -0.42
     APIs
    -0.41
     configurer
    -0.41
    Enlaces
    -0.41
    Descrizione
    -0.40
    POSITIVE LOGITS
     Collector
    0.62
     collector
    0.62
     collectors
    0.60
    Collector
    0.60
     exercised
    0.57
     Collectors
    0.57
     confined
    0.54
    Collectors
    0.52
     Einladung
    0.51
    ral
    0.51
    Activations Density 0.255%

    No Known Activations