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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. 6541
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    details related to automotive design features

    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
    ocardio
    -0.48
     ApiException
    -0.48
    cote
    -0.47
    ResponseWriter
    -0.45
    ovs
    -0.45
    WriteTagHelper
    -0.45
     aand
    -0.44
    coat
    -0.43
    stood
    -0.43
    enso
    -0.43
    POSITIVE LOGITS
     notch
    0.71
     notches
    0.70
     riuscito
    0.59
     fairs
    0.56
    ']))
    0.55
     tiens
    0.54
    ansvar
    0.52
     kysy
    0.52
    ftagPool
    0.52
     BioLib
    0.50
    Activations Density 0.333%

    No Known Activations