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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 7856
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    Explanations

    components related to railroads and their infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Życiorys
    -0.47
     EconPapers
    -0.46
     Sünde
    -0.45
     dezelve
    -0.45
    पया
    -0.44
     Exacts
    -0.44
    SequentialGroup
    -0.44
     zijne
    -0.42
    fitrión
    -0.42
    uteria
    -0.42
    POSITIVE LOGITS
     train
    1.74
     rail
    1.66
     trains
    1.64
     railway
    1.63
     Train
    1.57
     Rail
    1.51
     Trains
    1.50
     railroad
    1.48
     Railway
    1.48
    Rail
    1.46
    Activations Density 0.379%

    No Known Activations