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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12462
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    Explanations

    references to specific restaurants and food establishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     consumption
    -0.33
    straßen
    -0.30
    putan
    -0.29
     leef
    -0.28
    uju
    -0.28
    wuchs
    -0.28
     Consumption
    -0.28
    捂
    -0.27
     suy
    -0.27
     trous
    -0.27
    POSITIVE LOGITS
     selling
    1.17
     specialize
    1.15
     menjual
    1.13
     sells
    1.11
     specializing
    1.09
     specializes
    1.07
     sell
    1.02
     specialise
    1.02
     specialising
    1.02
     specialises
    0.96
    Activations Density 0.459%

    No Known Activations