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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15865
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    Explanations

    terms related to rail infrastructure and safety systems

    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-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     {},
    -0.51
     kun
    -0.51
     typelib
    -0.48
     material
    -0.48
     danske
    -0.47
     hiszen
    -0.47
     OnInit
    -0.47
     betekent
    -0.47
    /'+
    -0.46
     materials
    -0.45
    POSITIVE LOGITS
     rail
    2.14
    rail
    2.04
     Rail
    2.04
    Rail
    2.02
     RAIL
    1.96
    RAIL
    1.88
     railways
    1.81
     trains
    1.80
     railway
    1.80
     railroad
    1.78
    Activations Density 0.091%

    No Known Activations