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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. 3411
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    Explanations

    references to different professions or careers

    oai_token-act-pair · gpt-3.5-turbo

    references to various professions or occupations

    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
    dos
    -0.65
     Oo
    -0.62
     RNA
    -0.60
     Sudan
    -0.60
     Meier
    -0.59
    Phones
    -0.59
    worth
    -0.59
     Jamaica
    -0.58
    printed
    -0.58
    headers
    -0.57
    POSITIVE LOGITS
     profession
    0.92
     Profession
    0.84
    oreal
    0.83
    rities
    0.79
    ically
    0.78
    ally
    0.78
    ession
    0.78
     professions
    0.76
     ethic
    0.73
    rait
    0.72
    Activations Density 0.011%

    No Known Activations