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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 14713
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    Explanations

    references to lunch-related topics and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NgModule
    -0.85
    DateTimeField
    -0.82
    Linq
    -0.79
     NgModule
    -0.74
    __(/*!
    -0.71
    ModelSerializer
    -0.71
    ◼
    -0.71
     Kirs
    -0.71
     Theron
    -0.70
    Cheng
    -0.69
    POSITIVE LOGITS
     Lunch
    1.20
     lunch
    1.17
     lunches
    1.14
     LUNCH
    1.10
    Lunch
    1.05
    psum
    1.04
    lunch
    0.99
     lunchtime
    0.99
     luncheon
    0.95
     Luncheon
    0.95
    Activations Density 0.141%

    No Known Activations