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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. 7-RES-JB
    11. 8974
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    HTML or website elements like widgets or source codes

    oai_token-act-pair · gpt-3.5-turbo

    symbols that indicate parameters or settings in a data format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    issance
    -1.06
     Citiz
    -0.82
    untled
    -0.82
    ivating
    -0.80
    icles
    -0.80
    ĵĺ
    -0.75
    odynam
    -0.75
    theless
    -0.73
     Puzz
    -0.72
    ysis
    -0.69
    POSITIVE LOGITS
    utm
    1.03
    hl
    0.94
    gt
    0.93
    SOURCE
    0.92
    hei
    0.79
    gram
    0.78
    href
    0.78
    iframe
    0.76
    wid
    0.75
    tab
    0.74
    Activations Density 0.010%

    No Known Activations