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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6544
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    Explanations

    the word "are" in various forms and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Église
    -0.58
    dopodob
    -0.56
     fatt
    -0.54
    췄
    -0.54
     Keats
    -0.53
     Lázaro
    -0.53
    PyExc
    -0.53
     frito
    -0.53
     itſelf
    -0.52
    setof
    -0.52
    POSITIVE LOGITS
     are
    2.82
     were
    2.22
     ARE
    2.21
     Are
    2.06
    Are
    1.95
     WERE
    1.88
    are
    1.75
     Were
    1.75
    were
    1.73
    Were
    1.61
    Activations Density 0.423%

    No Known Activations