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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12626
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    Explanations

    references to loading and saving model weights in a machine learning context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.52
    hicles
    -0.49
    windowFixed
    -0.47
    OrNil
    -0.47
    mybatisplus
    -0.45
    rungsseite
    -0.44
    tsam
    -0.43
     deixa
    -0.43
    msgTypes
    -0.42
     Sam
    -0.42
    POSITIVE LOGITS
     weights
    0.85
     weight
    0.70
     Weights
    0.69
    Weights
    0.64
     Gewichts
    0.63
    weights
    0.61
     Gewicht
    0.57
     poids
    0.54
    weight
    0.54
     bias
    0.54
    Activations Density 0.269%

    No Known Activations