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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10572
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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 @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IsMutable
    -0.71
    addCriterion
    -0.59
     Verſ
    -0.56
     nakalista
    -0.56
     localObject
    -0.56
    itsubishi
    -0.56
    :+:
    -0.54
     vPvB
    -0.54
     queſta
    -0.54
     вікісторінку
    -0.53
    POSITIVE LOGITS
     waarop
    0.97
     which
    0.91
     waarmee
    0.90
     cui
    0.84
     auquel
    0.76
     auxquelles
    0.75
     whose
    0.75
     waarin
    0.73
     duquel
    0.73
     auxquels
    0.68
    Activations Density 0.132%

    No Known Activations