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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 8398
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    Explanations

    terms related to sizes and scales in scientific contexts, particularly focusing on "macro" and "micro"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     myſelf
    -0.53
     Houſe
    -0.52
     ſta
    -0.52
     Eſ
    -0.52
     juſ
    -0.50
     Jefus
    -0.50
     beſ
    -0.49
     Conſ
    -0.49
     Reſ
    -0.49
     houſe
    -0.48
    POSITIVE LOGITS
     macro
    0.79
    :✨
    0.68
     Mir
    0.68
    Mir
    0.68
    macro
    0.66
     micro
    0.66
     mir
    0.63
     Macro
    0.61
    Macro
    0.59
    Micro
    0.57
    Activations Density 0.457%

    No Known Activations