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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. 10335
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    references to football (soccer) players and their careers

    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
     <<<<<<<<<<<<<<
    -0.61
     itſelf
    -0.57
    RefNanny
    -0.56
    ကိုးကား
    -0.51
     ensayos
    -0.50
     ameste
    -0.50
    المشاركات
    -0.49
     typelib
    -0.49
    GEBURTSDATUM
    -0.49
     vettor
    -0.49
    POSITIVE LOGITS
     career
    0.51
     overseas
    0.45
    SharedCtor
    0.42
     Career
    0.38
    WithIdentifier
    0.36
    jsii
    0.35
    RunWith
    0.35
     contract
    0.35
    所属
    0.35
    career
    0.35
    Activations Density 0.300%

    No Known Activations