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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
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    references to food and eating behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    libft
    -0.58
    IndentedString
    -0.50
     referenties
    -0.46
     ligiloj
    -0.46
     iNdEx
    -0.45
    sidemargin
    -0.44
     imprim
    -0.44
    Hentet
    -0.43
     newBuilder
    -0.43
    ResponseWriter
    -0.43
    POSITIVE LOGITS
     eating
    2.86
     eat
    2.67
     eats
    2.45
     eaten
    2.39
     Eating
    2.36
    Eating
    2.34
    eating
    2.27
     Eat
    2.17
    Eat
    2.14
     ate
    2.08
    Activations Density 0.882%

    No Known Activations