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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. 7652
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    Explanations

    dates in the format YYYY appearing in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2011

    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
    phy
    -0.84
    onite
    -0.82
    ntil
    -0.80
    inates
    -0.79
    imore
    -0.75
    phia
    -0.75
    oute
    -0.74
    odies
    -0.72
     cumbers
    -0.71
    olean
    -0.71
    POSITIVE LOGITS
    å¹
    1.02
     onwards
    0.80
    -'
    0.79
    ãĥ¼ãĥĨãĤ£
    0.78
    20439
    0.71
    worthiness
    0.71
     Petraeus
    0.69
    01
    0.68
    ford
    0.67
    aldo
    0.67
    Activations Density 0.023%

    No Known Activations