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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19859
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    INDEX
    Explanations

    numbers in the context of dates and publication years

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating specific dates, locations, and contextual framing in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iatrics
    -0.85
    rio
    -0.83
    endered
    -0.77
    ellar
    -0.74
    orsi
    -0.74
    bush
    -0.73
    gen
    -0.72
    ernal
    -0.71
    hovah
    -0.70
    icter
    -0.69
    POSITIVE LOGITS
     Provided
    0.83
     Influ
    0.70
     Sketch
    0.66
     guiActiveUnfocused
    0.64
     TED
    0.63
     airs
    0.62
     Ded
    0.62
    actionDate
    0.60
     Travels
    0.60
     Creed
    0.60
    Activations Density 0.317%

    No Known Activations