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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 11406
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    Explanations

    references to athletes and athletics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.62
    ValueStyle
    -0.51
     indisponible
    -0.49
    ApiModelProperty
    -0.48
     surla
    -0.47
    новниш
    -0.43
    KommentareTeilen
    -0.43
    IsMutable
    -0.42
     tercero
    -0.41
    .*")]
    -0.40
    POSITIVE LOGITS
    Athletic
    1.00
     Athletic
    0.99
     athletic
    0.98
     arch
    0.90
    athletic
    0.89
     Arch
    0.85
    Arch
    0.77
    Athletics
    0.74
     mesh
    0.74
    arch
    0.74
    Activations Density 0.117%

    No Known Activations