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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 7141
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    references to government spending

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vest
    -0.44
     vesting
    -0.43
     vs
    -0.42
    devise
    -0.40
    binant
    -0.40
     lent
    -0.39
    VS
    -0.38
     Vers
    -0.38
    fast
    -0.38
    vest
    -0.38
    POSITIVE LOGITS
     expenditure
    0.72
    Spending
    0.71
     spending
    0.69
     crowd
    0.68
    Spend
    0.66
     Expenditure
    0.65
    spending
    0.64
     doInBackground
    0.63
    Expend
    0.63
     Spending
    0.62
    Activations Density 0.169%

    No Known Activations