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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    years from the 1930s

    oai_token-act-pair · gpt-3.5-turbo

    references to the decade of the 1930s

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

    No Comments

    Negative Logits
    Kin
    -0.73
    ledged
    -0.72
    Choice
    -0.70
    player
    -0.70
    holder
    -0.69
    ioned
    -0.67
    ramer
    -0.67
    orable
    -0.67
    olves
    -0.66
    omial
    -0.66
    POSITIVE LOGITS
     1936
    0.86
     1934
    0.78
     1938
    0.78
     1937
    0.72
     1933
    0.72
     1939
    0.70
     1935
    0.70
     1932
    0.69
     1943
    0.68
     1930
    0.68
    Activations Density 0.013%

    No Known Activations