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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
    11. 107925
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    Explanations

    references to "tar" and related contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     tarp
    -0.78
     tar
    -0.72
    IntoConstraints
    -0.57
     surla
    -0.54
    .")]
    -0.53
    PropertyChanging
    -0.52
     fieldNum
    -0.49
    jspb
    -0.49
     nakalista
    -0.49
    AnimationsModule
    -0.48
    POSITIVE LOGITS
    ngdoc
    0.53
    Ancien
    0.41
    warzys
    0.39
     istore
    0.39
     lø
    0.38
     būtų
    0.37
     juos
    0.37
    förs
    0.36
    jarse
    0.34
     लेकर
    0.34
    Activations Density 0.005%

    No Known Activations