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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. 37
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    INDEX
    Explanations

    phrases that highlight conjunctions and their connections in the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    "and" followed by other words

    np_acts-logits-general · gemini-2.0-flash

    conjunction followed by a word

    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
    Negative Logits
     utafitiHapana
    -0.64
     ingenieros
    -0.62
    guien
    -0.61
     itſelf
    -0.60
     inversiones
    -0.57
     esperti
    -0.57
     industriales
    -0.57
     Efq
    -0.56
     infecciones
    -0.56
     ilustraciones
    -0.56
    POSITIVE LOGITS
     hence
    1.44
    /
    1.38
     therefore
    1.31
     thus
    1.31
    rogens
    1.29
    romeda
    1.21
     then
    1.20
    hence
    1.19
     dermed
    1.12
     donc
    1.09
    Activations Density 1.361%

    No Known Activations