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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 5441
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    Explanations

    terms relating to transportation mechanisms and properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Keyes
    -0.64
     épis
    -0.54
     Schie
    -0.52
    Fá
    -0.52
     Fá
    -0.48
    írito
    -0.47
    Lí
    -0.47
    Kiri
    -0.47
    ia
    -0.46
    Sé
    -0.46
    POSITIVE LOGITS
     transport
    0.95
    transport
    0.93
     Transport
    0.89
     TRANSPORT
    0.87
    Transport
    0.86
     transports
    0.79
    TRANSPORT
    0.74
     transporte
    0.72
     transported
    0.71
    transports
    0.68
    Activations Density 0.289%

    No Known Activations