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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 3289
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    Explanations

    references to speed or quickness in various contexts

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

    "fast" and immediately following words

    np_acts-logits-general · gemini-2.0-flash

    fast food, fast production, fast moving

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !*\
    -0.40
     насељу
    -0.40
    ulgação
    -0.40
     consciência
    -0.37
    :✨
    -0.37
     divulgação
    -0.36
     réception
    -0.36
     circulación
    -0.36
     disambiguazione
    -0.36
     agrav
    -0.35
    POSITIVE LOGITS
     Fast
    0.88
    Fast
    0.79
     FAST
    0.71
     fast
    0.69
    fast
    0.68
    FAST
    0.63
     Fas
    0.58
    Fas
    0.57
    Хьажоргаш
    0.56
     faſt
    0.54
    Activations Density 0.115%

    No Known Activations