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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10388
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    Explanations

    words emphasizing quantities or degrees

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Amount
    -0.64
     Amount
    -0.53
     combien
    -0.50
     amount
    -0.49
    amount
    -0.48
     cuánto
    -0.43
     сколько
    -0.42
     Cantidad
    -0.42
    AMOUNT
    -0.41
     poffe
    -0.40
    POSITIVE LOGITS
     much
    1.52
    Much
    1.34
    much
    1.33
     Much
    1.32
     MUCH
    1.17
     mucho
    0.86
     гораздо
    0.82
     beaucoup
    0.81
    mucho
    0.76
     viel
    0.72
    Activations Density 0.093%

    No Known Activations