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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5351
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    INDEX
    Explanations

    references to fitness challenges or workout routines

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

    Weightlifting exercises or workout routines

    np_acts-logits-general · gemini-2.0-flash

    weightlifting exercises

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.69
    Personendaten
    -0.60
    spender
    -0.58
     Wissenschaften
    -0.58
    :✨
    -0.56
    MessageTagHelper
    -0.56
    oa̍t
    -0.55
    writeFieldEnd
    -0.54
    BagLayout
    -0.54
    -------------</
    -0.53
    POSITIVE LOGITS
     bench
    0.82
     Bench
    0.74
     press
    0.71
     dead
    0.71
     presses
    0.69
     Dead
    0.66
     pull
    0.66
     Presses
    0.66
     Press
    0.65
     reps
    0.64
    Activations Density 0.145%

    No Known Activations