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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3161
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    Explanations

    references to energy measurements and caloric content

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     dam
    -0.37
     Dam
    -0.36
     intellectuelle
    -0.36
    XPATH
    -0.34
     <<<<<<<<<<<<<<
    -0.34
     principal
    -0.33
     Zimmermann
    -0.32
    dim
    -0.32
     liability
    -0.31
    bnf
    -0.31
    POSITIVE LOGITS
     kil
    0.92
     mega
    0.80
    mega
    0.75
     Mega
    0.73
    Mega
    0.73
    メガ
    0.72
     KW
    0.72
     MW
    0.68
    kw
    0.67
    kil
    0.67
    Activations Density 0.518%

    No Known Activations