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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. 2-RES-JB
    11. 6976
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    Explanations

    words related to professions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various occupations or jobs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dos
    -0.67
    Phones
    -0.66
    erva
    -0.63
    Dub
    -0.62
    disc
    -0.61
     RNA
    -0.60
    drawn
    -0.59
    worth
    -0.59
    printed
    -0.58
    awk
    -0.57
    POSITIVE LOGITS
     profession
    1.02
     Profession
    0.88
     professions
    0.85
    ession
    0.84
    oreal
    0.80
    ally
    0.78
    ically
    0.78
    smanship
    0.78
    rait
    0.77
     association
    0.76
    Activations Density 0.013%

    No Known Activations