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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 7195
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    Explanations

    dates written in the format of "month-day-year"

    oai_token-act-pair · gpt-3.5-turbo

    numerical sequences and categories related to emergency services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ships
    -0.65
    adding
    -0.64
     Nou
    -0.63
     Kurds
    -0.60
    wordpress
    -0.60
     Turks
    -0.60
    birds
    -0.59
    zee
    -0.56
     Secondary
    -0.55
     Kurdistan
    -0.54
    POSITIVE LOGITS
    PLA
    0.88
    LP
    0.79
     underdog
    0.71
    onis
    0.71
    rm
    0.69
    unction
    0.67
    igslist
    0.66
    osher
    0.64
    ismo
    0.63
    382
    0.63
    Activations Density 0.076%

    No Known Activations