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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. 0-RES-JB
    11. 4739
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    Explanations

    references to the year 1950

    oai_token-act-pair · gpt-3.5-turbo

    specific years, primarily the 1950s and their significance in historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ub
    -0.76
    pot
    -0.69
    min
    -0.68
    reon
    -0.66
    mo
    -0.65
    ax
    -0.64
     Azure
    -0.63
    nox
    -0.62
    pool
    -0.62
    Rap
    -0.61
    POSITIVE LOGITS
     1951
    2.98
     1949
    2.91
     1953
    2.87
     1950
    2.85
     1947
    2.83
     1955
    2.81
     1952
    2.81
     1954
    2.78
     1948
    2.64
     1957
    2.59
    Activations Density 0.023%

    No Known Activations