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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. 10483
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    Explanations

    references to rail-related terms and concepts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     bouche
    -0.65
    UnknownFieldSet
    -0.64
     bè
    -0.63
    modelBuilder
    -0.61
     Dominicana
    -0.60
    konos
    -0.60
    metrist
    -0.59
    packageName
    -0.57
    Captor
    -0.56
     XO
    -0.55
    POSITIVE LOGITS
     rail
    2.98
     Rail
    2.88
    Rail
    2.75
     rails
    2.70
    rail
    2.70
     RAIL
    2.68
    RAIL
    2.35
    rails
    2.22
     Rails
    2.22
     railway
    2.20
    Activations Density 0.116%

    No Known Activations