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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 8314
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    Explanations

    proper nouns, particularly names of people and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ambilan
    -0.43
     conocía
    -0.43
     automatically
    -0.41
     obtaining
    -0.39
     automáticamente
    -0.39
     esperaba
    -0.38
     defence
    -0.38
    Identyfik
    -0.37
     pubblici
    -0.37
    especie
    -0.36
    POSITIVE LOGITS
    essler
    0.59
    hlmann
    0.57
    hling
    0.55
    hl
    0.54
    ese
    0.54
    isman
    0.53
    ibel
    0.52
    uman
    0.51
    eser
    0.51
    umann
    0.51
    Activations Density 0.316%

    No Known Activations