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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 0-GEMMASCOPE-RES-65K
    11. 13499
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    Explanations

    references to the railroad industry and its operations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_65k/average_l0_73
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    égard
    -0.55
    Autoritní
    -0.53
    neux
    -0.52
    stums
    -0.52
    sique
    -0.50
     webs
    -0.50
    KommentareTeilen
    -0.49
    exprimer
    -0.49
    ưỡng
    -0.49
    }")]
    -0.49
    POSITIVE LOGITS
     Railroad
    1.11
     railroad
    1.02
    Rail
    1.02
    rail
    1.01
     Rail
    0.99
     Railroads
    0.96
     railroads
    0.96
     Railway
    0.96
     RAIL
    0.92
     RAILROAD
    0.89
    Activations Density 0.064%

    No Known Activations