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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3880
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    references to lower and bottom parts 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 @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AddTagHelper
    -0.73
     StringTokenizer
    -0.72
    transQ
    -0.68
    BagLayout
    -0.65
     ſich
    -0.64
    /*
    -0.63
     accessToken
    -0.61
    BeginContext
    -0.60
    cplusplus
    -0.60
     ſei
    -0.59
    POSITIVE LOGITS
    bottom
    0.82
     below
    0.82
     bottom
    0.77
    below
    0.76
    Below
    0.75
     Below
    0.73
     Low
    0.73
     Bottom
    0.73
    Low
    0.71
     lowest
    0.71
    Activations Density 0.380%

    No Known Activations