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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. 4532
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    Explanations

    occurrences of the word "tor" and its variations in different 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
     Bunt
    -0.43
    遣
    -0.43
    Spiel
    -0.42
    Philippe
    -0.41
    Luke
    -0.41
     LeBlanc
    -0.40
     McLaughlin
    -0.40
     Louise
    -0.40
    phylla
    -0.40
    wave
    -0.39
    POSITIVE LOGITS
    ctor
    1.66
    tor
    1.54
    itor
    1.52
    ator
    1.45
    etor
    1.34
    utor
    1.30
    otor
    1.28
    TOR
    1.27
    ATOR
    1.27
    ITOR
    1.21
    Activations Density 0.370%

    No Known Activations