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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 8920
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    Explanations

    references to food items and ingredients

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Buckets
    -0.40
     invokingState
    -0.40
     sorbet
    -0.39
    blurRadius
    -0.38
     esternos
    -0.38
    導
    -0.38
     spirituale
    -0.38
    enciais
    -0.38
     lemons
    -0.38
     Bone
    -0.37
    POSITIVE LOGITS
     ham
    0.69
     fillings
    0.67
     salami
    0.66
     sandwich
    0.65
     meat
    0.60
     bologna
    0.59
     tuna
    0.59
     luncheon
    0.58
     morta
    0.57
     Ham
    0.57
    Activations Density 0.258%

    No Known Activations