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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 5821
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    references to specific car brands and models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ProtoMessage
    -0.52
    tinyos
    -0.48
    ьаж
    -0.46
     intStringLen
    -0.45
     Girolamo
    -0.43
    PreInfinity
    -0.43
    Tokyo
    -0.41
     Andi
    -0.41
     Dota
    -0.40
     Bani
    -0.40
    POSITIVE LOGITS
     Ford
    1.63
    Ford
    1.47
     FORD
    1.29
     ford
    1.24
     Mustang
    1.05
     Dearborn
    1.00
    FORD
    0.98
     Lincoln
    0.96
    Mustang
    0.90
    ford
    0.89
    Activations Density 0.213%

    No Known Activations