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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. 6-RES-JB
    11. 15351
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    phrases related to making a living or earning money

    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to making a living and generating income

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guid
    -0.73
     directions
    -0.68
    abus
    -0.65
    ims
    -0.64
    ipper
    -0.61
    Constructed
    -0.61
    olog
    -0.61
     cran
    -0.61
    author
    -0.60
    hn
    -0.60
    POSITIVE LOGITS
     liv
    0.84
     penn
    0.79
     profit
    0.77
    advertising
    0.76
     millionaires
    0.73
     Profit
    0.73
     fortunes
    0.72
    printf
    0.72
     richer
    0.70
     handsome
    0.68
    Activations Density 0.122%

    No Known Activations