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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
    11. 19739
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    Explanations

    mentions of various professions

    oai_token-act-pair · gpt-3.5-turbo

    references to various professions and professional roles

    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
     Meier
    -0.69
    arding
    -0.69
    Phones
    -0.64
     Oo
    -0.62
     straw
    -0.61
     Sudan
    -0.60
     patches
    -0.60
     Orwell
    -0.58
    Dub
    -0.58
    dos
    -0.57
    POSITIVE LOGITS
     Profession
    0.95
    ession
    0.92
     profession
    0.90
    smanship
    0.86
    Builder
    0.78
     professions
    0.78
    ically
    0.77
    oreal
    0.77
    ally
    0.76
     association
    0.75
    Activations Density 0.015%

    No Known Activations