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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 5199
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    Explanations

    phrases related to accidents or mishaps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IMATE
    -0.51
    HEET
    -0.49
    antasy
    -0.49
    lored
    -0.48
    抱着
    -0.47
    mayın
    -0.47
    érica
    -0.47
     willingness
    -0.47
    ایا
    -0.47
    forced
    -0.47
    POSITIVE LOGITS
     accidentally
    1.24
     accident
    1.11
    accident
    1.04
     ACCIDENT
    1.01
     Accident
    0.98
     inadvertently
    0.90
    Accident
    0.90
     tripped
    0.89
     acci
    0.87
     accidents
    0.86
    Activations Density 0.336%

    No Known Activations