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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 10420
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    Explanations

    names of athletes and their achievements in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_82
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedDtor
    -0.58
    ReusableCell
    -0.55
     autorytatywna
    -0.54
    chiha
    -0.53
     TextInputType
    -0.52
     ErrIntOverflow
    -0.52
    toHave
    -0.52
     DialogInterface
    -0.49
    Kanpo
    -0.49
    koin
    -0.49
    POSITIVE LOGITS
    UnusedPrivate
    0.80
     Apparatus
    0.64
     athletes
    0.62
     propOrder
    0.62
     Paralymp
    0.61
    complexContent
    0.59
     medals
    0.59
     APPARATUS
    0.58
     Athlete
    0.58
    athlete
    0.57
    Activations Density 0.148%

    No Known Activations