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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. 9-RES-JB
    11. 7335
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    INDEX
    Explanations

    dates or years preceded by "in"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" followed by associated historical context or data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    channelAvailability
    -0.90
     likened
    -0.71
     therein
    -0.63
     prosec
    -0.62
     weighs
    -0.62
     distances
    -0.61
     compared
    -0.60
     accounted
    -0.60
     INCLUD
    -0.59
     ster
    -0.59
    POSITIVE LOGITS
     2005
    1.39
     1979
    1.39
     1981
    1.39
     1988
    1.38
     2009
    1.38
     1991
    1.38
     1978
    1.37
     2004
    1.37
     2006
    1.37
     1982
    1.37
    Activations Density 0.271%

    No Known Activations