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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 15571
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    references to different types of channels in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roskov
    -0.51
    期刊论文
    -0.45
    Viitteet
    -0.44
     endforeach
    -0.44
     EconPapers
    -0.43
    脚注の使い方
    -0.42
    ApiModelProperty
    -0.41
    ItemBackground
    -0.41
     nahilalakip
    -0.41
    Tracce
    -0.39
    POSITIVE LOGITS
     channel
    2.34
    channel
    1.99
     Channel
    1.98
    Channel
    1.91
     CHANNEL
    1.77
     channels
    1.66
    CHANNEL
    1.48
     Channels
    1.47
    channels
    1.41
    Channels
    1.36
    Activations Density 0.073%

    No Known Activations