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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9071
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    Explanations

    terms related to human error, particularly in the context of clerical mistakes or accidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    🇶
    -0.42
    GEBURTSDATUM
    -0.38
    criminator
    -0.37
    ovna
    -0.35
    GN
    -0.35
    aarrggbb
    -0.35
    従
    -0.34
    vVar
    -0.34
    ợp
    -0.34
    GS
    -0.34
    POSITIVE LOGITS
     forgot
    0.81
     accidentally
    0.80
     mistake
    0.79
     accidental
    0.72
     Accidental
    0.71
     mistakes
    0.71
     inadvert
    0.70
     inadvertently
    0.70
    Accidental
    0.69
     Mistake
    0.69
    Activations Density 0.575%

    No Known Activations