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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10688
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    Explanations

    mentions of restaurants, cafes, and food outlets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    straßen
    -0.40
    COORD
    -0.32
     activation
    -0.30
    hn
    -0.30
     trous
    -0.29
     coordination
    -0.29
    ТУ
    -0.29
    Activation
    -0.29
    かしい
    -0.29
     Berman
    -0.29
    POSITIVE LOGITS
     specialize
    1.38
     specialise
    1.31
     specializes
    1.30
     menjual
    1.30
     specializing
    1.27
     selling
    1.27
     specialises
    1.25
     sells
    1.23
     specialising
    1.22
     sell
    1.16
    Activations Density 0.537%

    No Known Activations