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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. 1-RES-JB
    11. 2421
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    Explanations

    references to events or actions that occurred prior to a specific point in time

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Prior" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aden
    -0.80
    RO
    -0.72
     dot
    -0.69
    ür
    -0.69
    RF
    -0.67
    ft
    -0.66
    tower
    -0.65
    âĹı
    -0.65
    plot
    -0.62
    DOC
    -0.62
    POSITIVE LOGITS
    IOR
    1.02
    ities
    0.99
     Prior
    0.95
    itiz
    0.93
    itized
    0.92
    requisite
    0.91
     nomine
    0.87
    Prior
    0.87
    icip
    0.86
    emort
    0.83
    Activations Density 0.006%

    No Known Activations