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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. 23017
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    Explanations

    phrases containing the names of specific law firms or company partnerships with an emphasis on the '&' symbol notation

    oai_token-act-pair · gpt-3.5-turbo

    references to law firms in the context of legal discussions

    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
    pmwiki
    -1.00
    SPONSORED
    -0.85
    terday
    -0.77
    vernment
    -0.77
    imum
    -0.76
    emort
    -0.76
     exams
    -0.72
    etheless
    -0.71
    ovie
    -0.71
    nown
    -0.71
    POSITIVE LOGITS
     Associates
    1.41
     Sons
    1.31
     Company
    1.12
     Partners
    1.12
     Sullivan
    1.10
     Co
    1.02
     Essex
    1.01
     Friends
    1.00
     Hutch
    0.98
     Dunn
    0.95
    Activations Density 0.103%

    No Known Activations