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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 11810
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    Explanations

    references to motor racing events and participants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    famous racing locations and circuits (particularly Le Mans and other well-known motorsport venues).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.57
    abetes
    -0.56
    tonode
    -0.54
     AssemblyCulture
    -0.51
    kkue
    -0.49
     MainAxisSize
    -0.48
     AssemblyCompany
    -0.47
    MemoryWarning
    -0.46
    parsedMessage
    -0.46
    MLLoader
    -0.45
    POSITIVE LOGITS
     track
    1.29
     tracks
    1.13
     circuit
    1.05
     Track
    0.98
     race
    0.97
    track
    0.95
    Track
    0.90
     Circuit
    0.90
     races
    0.90
     circuits
    0.89
    Activations Density 0.179%

    No Known Activations