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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11666
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    references to neural networks and machine learning methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fotográfico
    -0.46
     ritratto
    -0.42
    ponses
    -0.40
     volantes
    -0.35
     vandens
    -0.35
     fotográfica
    -0.35
     Italij
    -0.35
     geslacht
    -0.34
     &___
    -0.34
     desmotivaciones
    -0.34
    POSITIVE LOGITS
     sequence
    0.72
     seq
    0.71
     Sequence
    0.69
    seq
    0.65
    sequence
    0.63
     Seq
    0.63
    Seq
    0.62
    Sequence
    0.61
     sequences
    0.60
    Sequences
    0.60
    Activations Density 0.177%

    No Known Activations