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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. 6225
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    Explanations

    descriptions of clothing and athletic wear

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Personendaten
    -0.90
     Waray
    -0.90
     betweenstory
    -0.84
    +#+#
    -0.79
     ActivatedRoute
    -0.78
    oredCriteria
    -0.78
     bezeichneter
    -0.77
     utafitiHapana
    -0.76
    AntiForgeryToken
    -0.75
    Rhestr
    -0.74
    POSITIVE LOGITS
     pants
    0.65
    SourceChecksum
    0.64
     shorts
    0.63
    pant
    0.54
    TestRunner
    0.52
     pant
    0.51
    shorts
    0.51
    Shorts
    0.51
    耳
    0.50
     jeans
    0.48
    Activations Density 0.164%

    No Known Activations