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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. 4-RES-JB
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    Explanations

    mentions of lawyers

    oai_token-act-pair · gpt-3.5-turbo

    references to legal professionals and the term "lawyer" in various contexts

    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
    oppers
    -0.73
     disembark
    -0.71
    plings
    -0.70
    Poll
    -0.67
     Railway
    -0.65
    ween
    -0.64
    Js
    -0.64
    cffffcc
    -0.63
     Reincarn
    -0.62
     Territories
    -0.62
    POSITIVE LOGITS
     warr
    0.87
    suit
    0.84
    yer
    0.83
    yers
    0.82
    suits
    0.82
     solicitor
    0.77
     Gloria
    0.77
     examiner
    0.76
    maid
    0.76
     Sergei
    0.70
    Activations Density 0.033%

    No Known Activations