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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 8-GEMMASCOPE-RES-16K
    6. 8156
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    Explanations

    references to different types of stone and masonry materials in a context related to construction or architecture

    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
    Jereo
    -0.65
     Lafayette
    -0.63
    /*---
    -0.63
    ndrome
    -0.63
    adaptiveStyles
    -0.63
    tagHelperRunner
    -0.62
     defoli
    -0.60
    cemic
    -0.60
    Бахар
    -0.60
     odeur
    -0.60
    POSITIVE LOGITS
     stone
    1.12
     brick
    1.07
     granite
    0.97
     bricks
    0.95
     stones
    0.93
    石
    0.91
    Stones
    0.89
     Stone
    0.88
     Stones
    0.87
    brick
    0.87
    Activations Density 0.235%

    No Known Activations