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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 1068
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    Explanations

    elements related to food preparation and types of cheese

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wok
    -0.52
     Tir
    -0.51
     couscous
    -0.50
     Autorizaciones
    -0.49
     Pant
    -0.48
     Chur
    -0.48
     SHELL
    -0.48
     Bowl
    -0.47
     tortilla
    -0.46
     pita
    -0.46
    POSITIVE LOGITS
     pickles
    0.49
     hígado
    0.48
     cured
    0.46
     preserves
    0.46
     pickle
    0.46
     pickled
    0.41
     réve
    0.41
     menudo
    0.41
     preserved
    0.40
     smoked
    0.39
    Activations Density 0.216%

    No Known Activations