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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 11961
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    Explanations

    physical objects or substances that cause harm or injury

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Normdatei
    -0.57
    ]<<
    -0.51
     Suf
    -0.50
    eam
    -0.50
     NSCoder
    -0.48
    kuuta
    -0.48
    HandlerContext
    -0.47
    mobileqq
    -0.47
     sumpay
    -0.47
    tift
    -0.47
    POSITIVE LOGITS
     stone
    0.95
     stones
    0.87
     Stone
    0.82
     STONE
    0.78
     paving
    0.78
    Stone
    0.75
     pave
    0.75
     bricks
    0.75
    stone
    0.73
     brick
    0.73
    Activations Density 0.213%

    No Known Activations