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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 21-GEMMASCOPE-RES-16K
    11. 2734
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    Explanations

    references to ships and nautical terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 21-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_21/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.hook_resid_post
    Hook Layer
    21
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     indoors
    -0.42
    şört
    -0.41
     pioggia
    -0.40
     outdoors
    -0.40
     walked
    -0.40
     getLayout
    -0.39
    complexContent
    -0.39
     walking
    -0.39
     walk
    -0.38
    indoor
    -0.38
    POSITIVE LOGITS
     sea
    0.60
     moored
    0.60
     offshore
    0.59
     vessels
    0.58
     floating
    0.58
     warships
    0.57
     barcos
    0.57
     cruises
    0.57
     ships
    0.56
     Sea
    0.55
    Activations Density 0.393%

    No Known Activations