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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. 5580
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    Explanations

    the repetition of the word "lot" and related phrases

    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
    IntoConstraints
    -0.73
     Roskov
    -0.61
    ViewImports
    -0.59
    tanleria
    -0.55
     CreateTagHelper
    -0.54
    🔕
    -0.52
     ModelExpression
    -0.51
    windowFixed
    -0.50
     мәкалә
    -0.50
    原始内容存档于
    -0.50
    POSITIVE LOGITS
     lot
    0.54
     more
    0.47
    lot
    0.47
     LOT
    0.46
    teries
    0.46
     less
    0.46
    Lots
    0.44
     Lot
    0.44
     fewer
    0.43
     lots
    0.43
    Activations Density 0.048%

    No Known Activations