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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 0-GEMMASCOPE-RES-16K
    6. 8129
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    Explanations

    the occurrence of the word "three" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 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
     Athenians
    -0.81
     Efq
    -0.77
     chapels
    -0.74
     Lipschitz
    -0.73
     MAV
    -0.72
     Plutarch
    -0.72
     Cæsar
    -0.71
     Mongols
    -0.71
     Poincar
    -0.70
     ballads
    -0.70
    POSITIVE LOGITS
     three
    2.58
     two
    2.38
     four
    2.23
    three
    2.10
    two
    1.86
     trois
    1.82
     five
    1.82
     six
    1.69
     drei
    1.66
    four
    1.65
    Activations Density 0.215%

    No Known Activations