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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. 1-RES-JB
    11. 2450
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    INDEX
    Explanations

    years mentioned in the text, specifically focusing on the year 1992

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1992

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    semb
    -0.76
    hed
    -0.71
    kell
    -0.68
    cho
    -0.66
    rop
    -0.65
    lying
    -0.65
    wered
    -0.64
    Stream
    -0.63
     nearest
    -0.62
    Edge
    -0.62
    POSITIVE LOGITS
    ĸļ
    1.12
    theless
    0.77
    -'
    0.73
    ãĤ¦ãĤ¹
    0.72
    å¹
    0.72
     1992
    0.71
    1992
    0.71
    zsche
    0.70
    utical
    0.69
    1993
    0.69
    Activations Density 0.013%

    No Known Activations