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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8350
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    references to specific brands or products, particularly shoes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    //
    -0.40
    styleUrls
    -0.39
    ⠋
    -0.34
     investigador
    -0.32
     saja
    -0.32
     Danach
    -0.32
     concepto
    -0.31
     until
    -0.31
    Diweddarwch
    -0.31
    μβρίου
    -0.31
    POSITIVE LOGITS
    WriteTagHelper
    0.67
    complexContent
    0.60
    ConstraintMaker
    0.59
     nonUne
    0.55
    aarrggbb
    0.54
     typelib
    0.50
    RTLU
    0.50
    WebVitals
    0.49
     TOPOLOGY
    0.48
    ſelben
    0.48
    Activations Density 0.400%

    No Known Activations