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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. MLP Out - 131k
    5. 6-GEMMASCOPE-MLP-131K
    6. 108015
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    Explanations

    terms related to eating and drinking activities

    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
     eating
    -0.63
    CppMethod
    -0.59
    eating
    -0.53
    吃
    -0.52
     eaten
    -0.52
     eat
    -0.52
    Eating
    -0.47
     Eating
    -0.47
     ate
    -0.45
     comiendo
    -0.43
    POSITIVE LOGITS
     kaynağından
    0.42
    LabelTagHelper
    0.37
     Somos
    0.37
    BBA
    0.37
     الرخصة
    0.36
    明け
    0.35
     regreso
    0.35
     escova
    0.35
     fumée
    0.35
    cull
    0.35
    Activations Density 0.002%

    No Known Activations