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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 4502
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    INDEX
    Explanations

    references to "ward" and "sword" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 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
    Negative Logits
     McCall
    -0.69
    Shal
    -0.66
     Peters
    -0.65
     Mash
    -0.64
    hofen
    -0.64
     Genti
    -0.64
     gev
    -0.63
     Ama
    -0.63
    czer
    -0.62
    Ander
    -0.61
    POSITIVE LOGITS
    ward
    1.25
     WARD
    1.21
    WARD
    1.15
     ward
    1.09
    Ward
    1.07
     Sword
    1.03
     swords
    1.03
    sword
    1.02
     Ward
    1.01
     Rodin
    0.99
    Activations Density 0.294%

    No Known Activations