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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. 8-RES-JB
    11. 8637
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    Explanations

    specific references to different economic sectors

    oai_token-act-pair · gpt-3.5-turbo

    references to various economic sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stick
    -0.73
    gling
    -0.73
    bol
    -0.69
    fet
    -0.69
    xes
    -0.66
    lihood
    -0.65
    zing
    -0.64
     Protocol
    -0.63
    Jenn
    -0.63
    gran
    -0.62
    POSITIVE LOGITS
     sectors
    1.06
     sector
    1.05
    sector
    1.01
     workforce
    0.97
     employment
    0.92
     worker
    0.88
     outsourcing
    0.87
     entreprene
    0.85
     occupations
    0.84
     entrepreneurship
    0.83
    Activations Density 0.032%

    No Known Activations