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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 15651
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    Explanations

    phrases related to value for money in food or dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases describing good value for money or affordability in relation to quality and pricing.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IndentedString
    -0.53
     EconPapers
    -0.52
     jspb
    -0.50
     propOrder
    -0.50
    SharedCtor
    -0.50
    StructEnd
    -0.50
    parsedMessage
    -0.50
    ⓧ
    -0.50
    ricians
    -0.48
     Differences
    -0.48
    POSITIVE LOGITS
     bargain
    1.19
     value
    1.16
     bargains
    1.02
     VALUE
    0.95
    性价比
    0.93
     Value
    0.92
     price
    0.92
    value
    0.89
     Bargain
    0.88
     affordable
    0.85
    Activations Density 0.137%

    No Known Activations