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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2864
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    Explanations

    phrases related to quantifying and measuring amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 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
    parsedMessage
    -0.61
    tagext
    -0.59
    inspector
    -0.59
     queſta
    -0.56
     ainfi
    -0.54
    iſchen
    -0.53
     endforeach
    -0.52
    Rüyada
    -0.52
    ftest
    -0.51
     élu
    -0.51
    POSITIVE LOGITS
     amount
    1.28
    Amount
    1.15
     amounts
    1.13
    amount
    1.13
     Amount
    1.09
     AMOUNT
    0.99
     Amounts
    0.95
    AMOUNT
    0.91
    Amounts
    0.90
    amounts
    0.85
    Activations Density 0.152%

    No Known Activations