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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 10471
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    Explanations

    repeated references to the word "lot" denoting quantity or emphasis

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    IntoConstraints
    -0.81
     Roskov
    -0.71
    httphttps
    -0.59
    windowFixed
    -0.58
     snippetHide
    -0.57
    TemporalType
    -0.57
     queſta
    -0.57
     disambiguazione
    -0.57
    tanleria
    -0.56
     CreateTagHelper
    -0.55
    POSITIVE LOGITS
     lot
    0.57
    teries
    0.47
     LOT
    0.45
     Lot
    0.43
    ttt
    0.42
     less
    0.41
     worse
    0.41
     fewer
    0.40
    tvguidetime
    0.40
     more
    0.39
    Activations Density 0.044%

    No Known Activations