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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 13603
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    INDEX
    Explanations

    phrases characterized by long-term planning and systematic steps

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

    preceding "term," "day," or a number

    np_acts-logits-general · gemini-2.0-flash

    long-term or day-to-day

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     quæ
    -0.68
    biega
    -0.61
     rövid
    -0.58
     händer
    -0.55
     nærm
    -0.54
     mû
    -0.53
     sehari
    -0.53
     kıs
    -0.52
    volles
    -0.52
     Waray
    -0.52
    POSITIVE LOGITS
     betweenstory
    0.77
     AspNetCore
    0.72
    жнему
    0.66
     basis
    0.63
    saraba
    0.62
    verständlich
    0.60
     resultCode
    0.60
    HasAnnotation
    0.58
    byshev
    0.58
    osoba
    0.57
    Activations Density 0.388%

    No Known Activations