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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4474
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    Explanations

    phrases that emphasize the concept of abundance or large quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FieldBuilder
    -0.48
     Blanco
    -0.48
    UserScript
    -0.47
     PDC
    -0.46
    postIndex
    -0.46
    IntoConstraints
    -0.46
     Chees
    -0.46
    Daisy
    -0.45
     Schäfer
    -0.45
    adaptiveStyles
    -0.45
    POSITIVE LOGITS
     lot
    1.00
     LOT
    0.81
     Lot
    0.77
     lots
    0.75
    Lot
    0.75
    lot
    0.72
    alot
    0.71
     LOTS
    0.69
    Lots
    0.68
     Lots
    0.66
    Activations Density 0.059%

    No Known Activations