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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9866
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    Explanations

    features and amenities associated with recreational locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RegressionTest
    -0.69
     يتيمه
    -0.57
     betweenstory
    -0.55
    SequentialGroup
    -0.53
    ItemBackground
    -0.53
     Италијани
    -0.52
    migrationBuilder
    -0.49
    elemField
    -0.49
     unknownFields
    -0.48
    IndentedString
    -0.47
    POSITIVE LOGITS
     fitness
    0.73
     lounge
    0.70
     café
    0.70
     cafe
    0.69
    café
    0.68
     sauna
    0.67
     cafetería
    0.66
     cafeteria
    0.66
    cafe
    0.65
     lobby
    0.64
    Activations Density 0.121%

    No Known Activations