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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. 10079
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    numeric results and team performance in sports contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    +#+
    -0.60
     AssemblyProduct
    -0.59
    AddTagHelper
    -0.55
     Hooks
    -0.52
    ########.
    -0.50
    Sucesor
    -0.49
    ⮕
    -0.48
     dAtA
    -0.48
    ⟭
    -0.47
    IRIS
    -0.47
    POSITIVE LOGITS
     seeded
    0.41
     참
    0.41
     Teilnehmer
    0.40
     participants
    0.40
     entries
    0.39
    小组
    0.39
     REGISTRATION
    0.39
     teams
    0.38
     round
    0.38
     registration
    0.38
    Activations Density 0.065%

    No Known Activations