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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. 2731
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    Explanations

    dates and ranges of time

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods and dates

    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
    natureconservancy
    -0.66
    Planet
    -0.64
    Compan
    -0.64
    mult
    -0.64
     Cosponsors
    -0.63
    Girls
    -0.62
    rats
    -0.61
    Required
    -0.59
    ivid
    -0.59
     Tradable
    -0.59
    POSITIVE LOGITS
     1945
    1.01
     1918
    1.01
     1899
    1.01
     1926
    0.98
     1919
    0.97
     1910
    0.97
     1889
    0.96
     1913
    0.96
     1906
    0.96
     1923
    0.95
    Activations Density 0.085%

    No Known Activations