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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8655
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    semicolon usage in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GoogleFonts
    -0.74
    expandindo
    -0.73
    basicConfig
    -0.67
    WriteTagHelper
    -0.64
     MainAxisSize
    -0.62
    extAlignment
    -0.61
     Италијани
    -0.60
     مشين
    -0.59
     informée
    -0.57
    ItemBackground
    -0.57
    POSITIVE LOGITS
    True
    0.49
    true
    0.49
     nakalista
    0.45
     lhes
    0.43
     península
    0.43
     ángeles
    0.43
     verdadeira
    0.43
     wahre
    0.41
    TRUE
    0.40
     diseños
    0.40
    Activations Density 0.057%

    No Known Activations