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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 10878
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    mentions of wheels and related components in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    StoryboardSegue
    -0.43
     logic
    -0.39
     Moffat
    -0.36
    rxjs
    -0.36
     betweenstory
    -0.35
    딕
    -0.35
     Eltern
    -0.34
     Moff
    -0.34
    ngdoc
    -0.33
     administratif
    -0.33
    POSITIVE LOGITS
    barrow
    0.82
    CHAIR
    0.61
    GEBURTS
    0.61
    chair
    0.58
    Chair
    0.52
    inghouse
    0.52
    chairs
    0.50
    ThemeOverlay
    0.50
    ersburg
    0.47
    MENAFN
    0.47
    Activations Density 0.191%

    No Known Activations