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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 15128
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    terms related to environmental issues and contamination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.44
    ArgumentParser
    -0.42
     Autorisations
    -0.42
    AutoField
    -0.42
     kalah
    -0.40
    UnusedPrivate
    -0.40
     gebeten
    -0.39
    횟
    -0.38
    /**
    -0.38
     saling
    -0.38
    POSITIVE LOGITS
     contaminated
    1.09
     contamination
    1.05
     remediation
    0.97
    contaminated
    0.92
     contamin
    0.91
    Conta
    0.90
     contaminant
    0.88
     cleanup
    0.88
     polluted
    0.86
    contamination
    0.86
    Activations Density 0.391%

    No Known Activations