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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 15493
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    terms related to skiing and ski equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.31
    ModelSerializer
    -0.28
     fieldNum
    -0.28
    bindParam
    -0.28
    GOTREF
    -0.26
     HELP
    -0.25
    ((
    -0.25
     prestations
    -0.25
    BeginInit
    -0.25
     respeito
    -0.24
    POSITIVE LOGITS
     ski
    1.20
     skiers
    1.18
     skiing
    1.15
     skis
    1.08
     Skiing
    1.03
     esquí
    1.01
     snowboard
    0.99
     skier
    0.98
     snowboarding
    0.97
     Ski
    0.95
    Activations Density 0.128%

    No Known Activations