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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. 8356
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    references to fitness and exercise routines

    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
    StoryboardSegue
    -0.66
    脚注の使い方
    -0.63
    spender
    -0.57
    toMatchSnapshot
    -0.53
    __*/
    -0.52
    oa̍t
    -0.51
    FieldNumber
    -0.48
    спеди
    -0.46
    ecma
    -0.45
    krad
    -0.45
    POSITIVE LOGITS
     barbell
    0.72
     press
    0.69
     bench
    0.69
     Presses
    0.66
     Bench
    0.66
     squat
    0.65
     Romanian
    0.64
    bench
    0.64
     dead
    0.64
     Press
    0.63
    Activations Density 0.147%

    No Known Activations