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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
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    Explanations

    years, specifically the year 1979

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 1979 and its historical relevance

    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
    iant
    -0.71
    hed
    -0.71
     entirety
    -0.71
    Rail
    -0.68
     ship
    -0.68
     nav
    -0.67
    meal
    -0.62
    und
    -0.60
    Ship
    -0.60
    imore
    -0.60
    POSITIVE LOGITS
    1982
    0.78
    isSpecialOrderable
    0.78
    å¹
    0.77
    1977
    0.76
    1993
    0.76
    ãĤ¦ãĤ¹
    0.76
    ĸļ
    0.75
    1983
    0.74
     1978
    0.74
    1995
    0.74
    Activations Density 0.018%

    No Known Activations