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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. 8-RES-JB
    11. 2112
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    INDEX
    Explanations

    dates or time-related events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "In" followed by dates or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :/
    -0.71
     damned
    -0.70
    /$
    -0.69
     ($
    -0.68
    esh
    -0.68
     thrott
    -0.68
     dstg
    -0.65
    inge
    -0.65
     creeps
    -0.62
    selves
    -0.61
    POSITIVE LOGITS
     1994
    1.03
     addition
    1.02
     1989
    1.01
     1988
    1.00
     2006
    1.00
     1991
    1.00
     1986
    0.99
     1996
    0.98
     1990
    0.97
     1995
    0.97
    Activations Density 0.232%

    No Known Activations