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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 825
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    keywords related to vehicle features and designs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EndContext
    -0.65
    ьаж
    -0.57
    脚注の使い方
    -0.54
    styleable
    -0.52
     PeEnEo
    -0.49
     habet
    -0.48
    Билгалдахарш
    -0.47
     resourceCulture
    -0.46
    serviceWorker
    -0.46
    новништво
    -0.45
    POSITIVE LOGITS
     promises
    0.73
     combines
    0.69
     combine
    0.66
     effortlessly
    0.65
     couldn
    0.63
    promises
    0.62
     marries
    0.61
    Combining
    0.61
     certainly
    0.60
     truly
    0.59
    Activations Density 0.323%

    No Known Activations