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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12679
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    parameters and performance metrics related to computer architecture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     community
    -0.36
     GenerationType
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     absorbed
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     Community
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     Anchor
    -0.33
     absorb
    -0.32
    giri
    -0.32
     Appearances
    -0.32
    llave
    -0.32
    POSITIVE LOGITS
     instruction
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    instruction
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     Instruction
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     pipelines
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     pipeline
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     instructions
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    Instruction
    0.62
     INSTRUCTION
    0.60
     pip
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    instructions
    0.59
    Activations Density 0.674%

    No Known Activations