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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14585
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    Explanations

    references to sporting events and team performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Follows "has", ",", or "of"

    np_acts-logits-general · gemini-2.0-flash

    undefeated victories

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.85
    :✨
    -0.71
    AndEndTag
    -0.62
    TagMode
    -0.59
     EconPapers
    -0.54
    évaluateur
    -0.49
     ویکی‌آمباردا
    -0.47
     Numerade
    -0.47
    edoc
    -0.45
    Rüyada
    -0.43
    POSITIVE LOGITS
     undefeated
    0.67
     playoff
    0.60
     rematch
    0.59
     victories
    0.59
     derrot
    0.59
     defeated
    0.56
     defeat
    0.55
     playoffs
    0.54
     unbeaten
    0.54
     defeats
    0.53
    Activations Density 0.220%

    No Known Activations