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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 9675
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    Explanations

    mentions of the term "train" and its context within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InputBorder
    -0.51
    Chham
    -0.49
    IVEREF
    -0.47
    ervlak
    -0.46
     صوتيه
    -0.46
     EconPapers
    -0.45
    fragment
    -0.44
    fromnode
    -0.43
     fragment
    -0.43
    ThroughAttribute
    -0.43
    POSITIVE LOGITS
    Train
    0.90
     train
    0.84
     Train
    0.82
    train
    0.82
    TRAIN
    0.80
     TRAIN
    0.79
     Trains
    0.76
     trains
    0.73
     Training
    0.71
     Trainings
    0.71
    Activations Density 1.976%

    No Known Activations