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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6677
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    structured data attributes and inputs in a coding context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     itſelf
    -0.81
     indígen
    -0.78
     increí
    -0.77
     ſind
    -0.76
     queſta
    -0.75
     myſelf
    -0.75
    ðsíða
    -0.74
    Personensuche
    -0.74
     témoig
    -0.73
     $_(
    -0.71
    POSITIVE LOGITS
    antd
    0.26
    1
    0.24
    发表于
    0.24
     ся
    0.24
     e
    0.23
     tro
    0.23
    Gruß
    0.23
    color
    0.22
     cel
    0.22
    leiter
    0.22
    Activations Density 0.174%

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