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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. 11297
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    Explanations

    mention of leather and its various applications

    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
     ProtoMessage
    -0.59
    flink
    -0.58
    Timmy
    -0.57
    eventId
    -0.55
    blockList
    -0.53
    ArgumentParser
    -0.51
    BibitemShut
    -0.50
     Hamlet
    -0.50
     tsunami
    -0.50
    Biografi
    -0.49
    POSITIVE LOGITS
     leather
    1.27
    Leather
    1.20
    leather
    1.20
     Leather
    1.19
     cuero
    0.97
     چرم
    0.88
    レザー
    0.82
     Leder
    0.81
     couro
    0.81
     cuir
    0.80
    Activations Density 0.091%

    No Known Activations