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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 4430
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    Explanations

    references to men's sports teams and accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ModelExpression
    -0.91
    клопе
    -0.86
    ApiModelProperty
    -0.83
    PickerController
    -0.78
    tagHelperRunner
    -0.74
    IntoConstraints
    -0.74
    Hozzáférés
    -0.74
     NSCoder
    -0.74
    StoryboardSegue
    -0.71
    }\]
    -0.67
    POSITIVE LOGITS
     men
    0.62
     남자
    0.58
     herre
    0.53
     Men
    0.51
     women
    0.51
     male
    0.51
     dáms
    0.50
     Women
    0.50
     páns
    0.49
     boys
    0.48
    Activations Density 0.395%

    No Known Activations