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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
    11. 15608
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    Explanations

    dates and numeric values followed by parenthesis

    oai_token-act-pair · gpt-3.5-turbo

    the presence of parentheses in the text

    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
     entitle
    -0.72
     lull
    -0.72
     contend
    -0.72
     impeachment
    -0.71
     pale
    -0.70
     nitrogen
    -0.69
     electr
    -0.69
     eaves
    -0.68
     spir
    -0.68
     recip
    -0.68
    POSITIVE LOGITS
    ...)
    1.19
    aka
    1.17
    ?)
    1.14
    formerly
    1.13
    emphasis
    1.13
    sic
    1.12
    see
    1.10
    via
    1.10
    excluding
    1.07
    !)
    1.07
    Activations Density 0.240%

    No Known Activations