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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12626
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    INDEX
    Explanations

    phrases emphasizing quantity or abundance

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

    "a" followed by quantity words

    np_acts-logits-general · gemini-2.0-flash

    large number of

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mark
    -0.36
    ToOne
    -0.33
     улы
    -0.32
     sil
    -0.31
     tender
    -0.31
    ToTable
    -0.31
     Hermans
    -0.31
    CastException
    -0.31
    nitts
    -0.30
     sund
    -0.30
    POSITIVE LOGITS
    OGND
    0.80
     Vielzahl
    0.75
     betweenstory
    0.68
    :✨
    0.68
     myriad
    0.67
     variety
    0.66
     autorytatywna
    0.66
     виправивши
    0.66
     Paglinawan
    0.66
    Manbalar
    0.65
    Activations Density 0.324%

    No Known Activations