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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. 2356
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    INDEX
    Explanations

    phrases emphasizing quantity or abundance

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

    "lot of"

    np_acts-logits-general · gemini-2.0-flash

    a lot of

    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
     AssemblyCompany
    -0.77
     كومونز
    -0.71
    CrossRef
    -0.64
    hmigung
    -0.63
     limitless
    -0.60
     nucleon
    -0.58
     insufficiency
    -0.58
     Wellen
    -0.58
     accedere
    -0.57
    SuppressLint
    -0.57
    POSITIVE LOGITS
     more
    0.89
     lot
    0.73
     less
    0.69
    mybatisplus
    0.69
     fewer
    0.68
    teries
    0.64
    NameInMap
    0.62
    tttt
    0.61
    ########.
    0.60
     different
    0.59
    Activations Density 0.043%

    No Known Activations