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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10555
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    Explanations

    positional roles of athletes in various sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TypedDataSet
    -0.47
    featureID
    -0.46
    isContained
    -0.43
    makeText
    -0.42
     contextLoads
    -0.42
     taus
    -0.41
     esso
    -0.40
    principalColumn
    -0.40
    mpagne
    -0.39
    WriteAttribute
    -0.39
    POSITIVE LOGITS
    ReusableCell
    0.48
     sophomore
    0.47
     striker
    0.45
     Maldonado
    0.44
    Sophomore
    0.44
     quarterback
    0.43
    antung
    0.43
     Sophomore
    0.42
    sidemargin
    0.41
     keenly
    0.41
    Activations Density 0.066%

    No Known Activations