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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 12080
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    Explanations

    various types of sandwiches and their ingredients

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    scriptcase
    -0.44
    Atsauces
    -0.41
     Signalez
    -0.41
    autorest
    -0.40
     pleaſure
    -0.39
    jdt
    -0.38
     Reſ
    -0.38
     éclairage
    -0.38
    tonsoft
    -0.37
     UIFont
    -0.37
    POSITIVE LOGITS
     sandwich
    0.82
     Sandwich
    0.78
    Sandwich
    0.68
    sandwich
    0.67
     sandwiches
    0.66
     Sandwiches
    0.60
     lunch
    0.54
     burger
    0.52
    🥪
    0.50
     ""],
    0.49
    Activations Density 0.125%

    No Known Activations