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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. 6987
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    Explanations

    terms related to electrical hazards and contamination in a technical context

    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
     would
    -1.05
    would
    -0.91
     wouldn
    -0.90
     Would
    -0.84
    wouldn
    -0.82
     WOULD
    -0.78
     wouldnt
    -0.78
    Would
    -0.75
     würde
    -0.74
     Wouldn
    -0.67
    POSITIVE LOGITS
     nadzieję
    0.63
     itſelf
    0.61
     domésticos
    0.56
     dataSnapshot
    0.54
    zysz
    0.54
    alnız
    0.54
     raiſ
    0.54
     damage
    0.53
    Damage
    0.52
    électricité
    0.52
    Activations Density 0.385%

    No Known Activations