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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 9065
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    Explanations

    references to the Renormalization process and its applications in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Aiheesta
    -0.60
    parsedMessage
    -0.59
     autorytatywna
    -0.57
    قایناق‌لار
    -0.52
    fromnode
    -0.52
    adaptiveStyles
    -0.50
     Meksiku
    -0.49
    nalités
    -0.49
     defaultstate
    -0.46
     MAF
    -0.45
    POSITIVE LOGITS
     Salt
    0.73
     Ren
    0.70
    Salt
    0.69
     ren
    0.69
     salt
    0.69
     rendered
    0.68
     REN
    0.67
    salt
    0.66
    Ren
    0.61
     rendering
    0.59
    Activations Density 0.759%

    No Known Activations