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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 3545
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    Explanations

    names of football players and references to their actions or achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Colchester
    -0.48
     Coventry
    -0.46
     Pompey
    -0.46
     Fulham
    -0.45
     Hampstead
    -0.45
     Warwickshire
    -0.44
     Burnley
    -0.44
     Burgen
    -0.43
    Essex
    -0.42
     Huddersfield
    -0.42
    POSITIVE LOGITS
     Lionel
    0.88
     Messi
    0.80
    Lionel
    0.78
     Real
    0.73
     Leo
    0.71
    ThroughAttribute
    0.69
    Messi
    0.65
     MESS
    0.64
    MESS
    0.63
    Leo
    0.63
    Activations Density 0.100%

    No Known Activations