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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. 4061
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    references to player performance and statistics in sports contexts

    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
    Offensive
    -0.72
    parsedMessage
    -0.71
     Offensive
    -0.71
     offensive
    -0.67
     offense
    -0.66
    offensive
    -0.65
     unknownFields
    -0.62
    expandindo
    -0.61
     offence
    -0.60
    TagHelper
    -0.59
    POSITIVE LOGITS
     coverage
    0.72
    Coverage
    0.64
     Coverage
    0.64
    coverage
    0.62
    壓力
    0.54
     extérieures
    0.53
     scolaires
    0.53
     pressures
    0.53
     safety
    0.53
     старости
    0.53
    Activations Density 0.164%

    No Known Activations