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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 17-GEMMASCOPE-RES-16K
    11. 796
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    references to skiing and ski resorts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 17-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_17/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.17.hook_resid_post
    Hook Layer
    17
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ciutat
    -0.58
     createState
    -0.54
    STREET
    -0.53
    phis
    -0.52
     street
    -0.52
     hígado
    -0.50
     STREET
    -0.50
     Rotterdam
    -0.49
     cellpadding
    -0.49
     Ports
    -0.49
    POSITIVE LOGITS
     ski
    1.19
     skiing
    1.18
     alpine
    1.14
     skiers
    1.13
     mountain
    1.06
     Alpine
    1.06
     Skiing
    1.05
     skier
    1.01
     skis
    0.97
     Ski
    0.96
    Activations Density 0.227%

    No Known Activations