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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. 891
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    Explanations

    significant mentions of food items and dining experiences

    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
     betweenstory
    -0.63
     المعيارى
    -0.62
     survie
    -0.56
     avoient
    -0.55
     étoient
    -0.54
     Distribution
    -0.54
    Distribution
    -0.51
     Distributions
    -0.49
     enfans
    -0.49
    +#+#
    -0.49
    POSITIVE LOGITS
     tapas
    0.69
     authentic
    0.66
     menu
    0.65
     fusion
    0.65
     traditional
    0.63
     cuisine
    0.56
    AddTagHelper
    0.54
     imaginative
    0.54
     specials
    0.53
     Mediterranean
    0.52
    Activations Density 0.205%

    No Known Activations