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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6879
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    Explanations

    references to railway stations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.68
    ніципа
    -0.63
    rungsseite
    -0.62
     Italij
    -0.62
     Exacts
    -0.61
     ModelExpression
    -0.61
    AnchorStyles
    -0.60
    URLException
    -0.59
     esternos
    -0.58
     protoimpl
    -0.57
    POSITIVE LOGITS
     train
    1.15
     Train
    1.02
     rail
    0.99
     trains
    0.96
     Rail
    0.96
     Railway
    0.95
     Trains
    0.93
     railway
    0.92
    Rail
    0.90
     railroad
    0.90
    Activations Density 0.295%

    No Known Activations