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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 11055
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    Explanations

    the word "was" and references to the numpy library

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.67
     surla
    -0.59
    BeginContext
    -0.56
     autorytatywna
    -0.52
    GEBURTSDATUM
    -0.48
    Hentet
    -0.48
    ########.
    -0.47
     Chwiliwch
    -0.46
    KURZBESCHREIBUNG
    -0.46
    oredCriteria
    -0.45
    POSITIVE LOGITS
     Was
    0.72
    Was
    0.72
     novel
    0.62
    was
    0.56
    sigma
    0.52
     Novel
    0.50
    novel
    0.48
     NOVEL
    0.47
     least
    0.46
    Novel
    0.46
    Activations Density 0.076%

    No Known Activations