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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7227
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    Explanations

    the word "who" and its variations, indicating a focus on identifying subjects or references in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 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
    uron
    -0.62
    υτό
    -0.60
     Burr
    -0.59
     intrinsic
    -0.58
     beit
    -0.58
    localctx
    -0.57
    intera
    -0.57
     gitt
    -0.54
     vall
    -0.54
     anything
    -0.54
    POSITIVE LOGITS
     who
    1.85
    who
    1.73
     whom
    1.50
     Who
    1.48
    Who
    1.47
     WHO
    1.45
    whom
    1.39
    WHO
    1.29
     quien
    1.28
     którzy
    1.21
    Activations Density 0.070%

    No Known Activations