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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. 10352
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    Explanations

    years from the 1970s

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1973 and its surrounding context

    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
    tro
    -0.78
    ndra
    -0.74
    Edge
    -0.71
     entirety
    -0.71
    hop
    -0.71
    Storage
    -0.67
     unw
    -0.66
    edo
    -0.65
    BOOK
    -0.64
    unders
    -0.63
    POSITIVE LOGITS
    ĸļ
    0.74
     onwards
    0.71
     onward
    0.69
    1968
    0.67
    å¹
    0.66
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.66
    1966
    0.64
     Manson
    0.64
    sburg
    0.64
     Jong
    0.63
    Activations Density 0.024%

    No Known Activations