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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. 111381
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    Explanations

    words associated with rewarding experiences

    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
     rewarding
    -1.14
     gratifying
    -0.67
     satisfying
    -0.49
    jsii
    -0.48
     awarding
    -0.48
    ennis
    -0.46
     pleasing
    -0.43
    Tikang
    -0.43
     gemak
    -0.42
    lavia
    -0.41
    POSITIVE LOGITS
     OFDb
    0.52
     <=",
    0.49
    MessageOf
    0.48
    TintMode
    0.46
     surla
    0.44
     виправивши
    0.41
    MigrationBuilder
    0.40
    enderror
    0.40
    المناصب
    0.40
     wireType
    0.39
    Activations Density 0.002%

    No Known Activations