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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3195
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    INDEX
    Explanations

    references to mathematical norms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Largeur
    -0.40
    htm
    -0.37
    splitlines
    -0.37
     poświę
    -0.36
     eks
    -0.35
    tichetta
    -0.34
     knji
    -0.34
    Pun
    -0.34
     Rhod
    -0.34
     Schot
    -0.34
    POSITIVE LOGITS
     norm
    1.49
    norm
    1.37
    Norm
    1.30
     Norm
    1.26
     norms
    0.97
     NORM
    0.96
    norms
    0.95
     normative
    0.92
    NORM
    0.92
     normalized
    0.71
    Activations Density 0.139%

    No Known Activations