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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. 2310
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    Explanations

    words and phrases related to methods, results, and findings in academic research

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

    Preceding tokens of "which"

    np_acts-logits-general · gemini-2.0-flash

    preposition followed by which

    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
    fycat
    -0.63
    Демографія
    -0.63
     kasarigan
    -0.62
    IVEREF
    -0.61
    PreInfinity
    -0.59
    ządu
    -0.56
    archiviato
    -0.56
    ulemon
    -0.55
    expandindo
    -0.55
    dafx
    -0.55
    POSITIVE LOGITS
     which
    4.28
    which
    3.54
     WHICH
    3.07
     Which
    3.04
    Which
    2.96
    hich
    2.12
     laquelle
    2.08
     lequel
    1.99
     wich
    1.96
    ซึ่ง
    1.94
    Activations Density 2.630%

    No Known Activations