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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 5993
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    Explanations

    culinary instructions, particularly focusing on seasoning and preparation methods

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    NameInMap
    -0.77
     tartalomajánló
    -0.71
    OGND
    -0.71
    Datuak
    -0.71
    rungsseite
    -0.69
     насељу
    -0.64
    AddTagHelper
    -0.63
     оригіналу
    -0.63
    findpost
    -0.63
    ValueStyle
    -0.63
    POSITIVE LOGITS
     pepper
    0.60
     poivre
    0.56
     pimienta
    0.50
     Pepper
    0.43
    pepper
    0.37
     pimenta
    0.36
    Pepper
    0.33
    胡椒
    0.31
     peppers
    0.31
     burbujas
    0.30
    Activations Density 0.093%

    No Known Activations