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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
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    Explanations

    instances of the word "Having" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 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
     singkat
    -0.53
     используются
    -0.52
    cifix
    -0.52
     panahon
    -0.51
     Tate
    -0.51
     сравнению
    -0.51
     morrer
    -0.51
    newVal
    -0.51
    prozess
    -0.50
     zemi
    -0.49
    POSITIVE LOGITS
     having
    3.00
    having
    2.90
     Having
    2.82
    Having
    2.79
     HAVING
    2.66
     avendo
    1.49
     ayant
    1.46
     tendo
    1.35
     habiendo
    1.30
    ayant
    1.27
    Activations Density 0.068%

    No Known Activations