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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5449
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    Explanations

    occurrences of the word "Wal" and its variations in different contexts

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

    starting with "Wal"

    np_acts-logits-general · gemini-2.0-flash

    Wal-Mart and Walt Disney

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     препратки
    -0.56
     Caine
    -0.55
    Personendaten
    -0.55
     Amts
    -0.54
    withIdentifier
    -0.54
    addImage
    -0.53
    ildes
    -0.51
    Hentet
    -0.51
    celes
    -0.51
    abancı
    -0.50
    POSITIVE LOGITS
    Wal
    0.76
     Wal
    0.73
    #
    0.59
     WAL
    0.59
    ंदीखरीदारी
    0.57
     wal
    0.53
     مرئيه
    0.52
     ब्रेकडाउन
    0.50
     Insee
    0.49
     Bharati
    0.49
    Activations Density 0.188%

    No Known Activations