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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. 1865
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    Explanations

    the word "which" in various contexts

    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
    ronpa
    -0.47
    iesto
    -0.41
    تفصیلات
    -0.39
    LookAnd
    -0.39
     ddelweddau
    -0.38
    Équipe
    -0.37
    ：“……”
    -0.37
    blockList
    -0.36
     righe
    -0.36
    rawDesc
    -0.36
    POSITIVE LOGITS
     which
    1.41
    #
    0.62
     what
    0.58
     vilket
    0.57
     who
    0.56
     that
    0.55
     mely
    0.53
     č
    0.51
     AssemblyCulture
    0.51
     iż
    0.50
    Activations Density 0.204%

    No Known Activations