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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 15164
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    INDEX
    Explanations

    brand names and specific product references in the context of automotive and sports discussions

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

    Punctuation immediately following a number

    np_acts-logits-general · gemini-2.0-flash

    Arsenal football club

    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
    oredCriteria
    -0.79
     agate
    -0.65
    TintMode
    -0.63
     Louisville
    -0.60
    SourceChecksum
    -0.60
    IsPostBack
    -0.60
    Baltimore
    -0.58
    FormTagHelper
    -0.58
    TIMORE
    -0.57
     Baltimore
    -0.57
    POSITIVE LOGITS
     Arsenal
    1.06
     Gunners
    1.00
     Arteta
    0.86
     Mikel
    0.86
    Arsenal
    0.85
    Gun
    0.76
     Wenger
    0.74
    gun
    0.73
    Arte
    0.66
     Gun
    0.66
    Activations Density 0.099%

    No Known Activations