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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. 3-RES-JB
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    quotations

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks and the statements enclosed within them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scheduled
    -0.75
     favor
    -0.70
     litter
    -0.69
     sympath
    -0.69
     sway
    -0.69
     endeav
    -0.68
     schedule
    -0.68
     periodic
    -0.66
     abduct
    -0.64
     prelim
    -0.64
    POSITIVE LOGITS
    We
    1.09
    I
    1.08
    It
    1.02
    Because
    1.00
    Anything
    0.99
    There
    0.98
    Whereas
    0.97
    That
    0.96
    Whenever
    0.96
    Never
    0.96
    Activations Density 0.132%

    No Known Activations