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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 15489
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    Explanations

    keywords related to railway service operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Railway, train, and station related texts

    np_acts-logits-general · gemini-2.0-flash

    trains, railways, and stations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \{\\
    -0.73
     pinulongan
    -0.70
    Билгалдахарш
    -0.70
    ArrowToggle
    -0.66
     مشين
    -0.66
     nakalista
    -0.65
     محفوظة
    -0.63
    tagext
    -0.63
    piram
    -0.59
    agd
    -0.59
    POSITIVE LOGITS
     rail
    1.13
     railway
    1.07
     railroad
    1.05
    Rail
    1.04
     ferrovi
    1.04
     Rail
    1.03
     Railway
    1.02
     train
    1.02
     trains
    1.01
     Trains
    0.98
    Activations Density 0.317%

    No Known Activations