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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 14062
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    instances of achievement and recognition 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 @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WaitGroup
    -0.58
    __(/*!
    -0.52
    цездатний
    -0.50
    يكب
    -0.48
     transfieras
    -0.45
    ↹
    -0.42
     propOrder
    -0.42
    GEBURTSDATUM
    -0.41
    StructEnd
    -0.41
    rungsseite
    -0.40
    POSITIVE LOGITS
     AFL
    0.61
     ruck
    0.60
     football
    0.56
    AFL
    0.56
     contested
    0.55
     midfielder
    0.55
     premi
    0.52
     kicked
    0.50
     kicking
    0.49
     midfield
    0.49
    Activations Density 0.082%

    No Known Activations