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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. 6343
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    Explanations

    terms and phrases related to cleanliness and environmental sustainability

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Gelegenheit
    -0.45
     otomatig
    -0.45
    Soorten
    -0.41
     PeEnEo
    -0.41
     Umfang
    -0.39
     Stellung
    -0.39
    CardHeader
    -0.37
    ResId
    -0.36
    hdashline
    -0.36
    SourceChecksum
    -0.36
    POSITIVE LOGITS
     Clean
    0.84
    Clean
    0.81
     CLEAN
    0.76
    liness
    0.73
     unclean
    0.71
    clean
    0.69
    CLEAN
    0.69
     clean
    0.68
     cleanliness
    0.65
     Dirty
    0.64
    Activations Density 0.131%

    No Known Activations