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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1582
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    Explanations

    references to different types of cups and seats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Houſe
    -0.70
     Majefty
    -0.63
     Efq
    -0.62
     pleaſure
    -0.61
     bParam
    -0.61
     houſe
    -0.61
    parsedMessage
    -0.59
    rawDesc
    -0.59
    modore
    -0.57
    verifyException
    -0.57
    POSITIVE LOGITS
     seat
    0.64
     seated
    0.59
     sitting
    0.49
     seating
    0.48
     seats
    0.48
    seated
    0.47
    Sitting
    0.46
     Sit
    0.45
     cup
    0.45
     ger
    0.45
    Activations Density 0.232%

    No Known Activations