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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 2910
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    Explanations

    words related to rail transportation and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personensuche
    -0.84
    BeginContext
    -0.82
    metrist
    -0.79
    selves
    -0.77
    ities
    -0.74
    cence
    -0.70
    ?",
    -0.69
    diga
    -0.68
     gewe
    -0.68
    konos
    -0.67
    POSITIVE LOGITS
     rails
    1.43
     Rail
    1.38
     RAIL
    1.32
     rail
    1.31
     Rails
    1.26
    rail
    1.25
    Rail
    1.23
    Rails
    1.20
    rails
    1.09
    RAIL
    1.04
    Activations Density 0.010%

    No Known Activations