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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3155
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    Explanations

    references to professional wrestling and related character dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mourut
    -0.36
     dépens
    -0.27
    kész
    -0.26
     mourir
    -0.25
     développer
    -0.24
     expect
    -0.24
     prépar
    -0.24
     vanno
    -0.23
     optimized
    -0.23
     pauvres
    -0.22
    POSITIVE LOGITS
     WWE
    1.38
    WWE
    1.34
     wrestler
    1.23
     wrestling
    1.21
     Wrestling
    1.18
     wrestlers
    1.17
    Wrestling
    1.13
     WrestleMania
    1.12
     wrestled
    1.11
    restling
    1.09
    Activations Density 0.943%

    No Known Activations