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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. 0-RES-JB
    11. 11530
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    Explanations

    words related to specific occupations or professions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to careers and employment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ique
    -0.69
    ya
    -0.62
    ulus
    -0.62
     contained
    -0.61
    tar
    -0.59
     transmitter
    -0.59
    ée
    -0.59
    Streamer
    -0.59
    text
    -0.57
    á¸
    -0.57
    POSITIVE LOGITS
     careers
    4.00
     career
    1.96
     professions
    1.59
     Career
    1.52
     jobs
    1.49
     lifestyles
    1.49
     lives
    1.44
     occupations
    1.31
     salaries
    1.30
    jobs
    1.29
    Activations Density 0.010%

    No Known Activations