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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. 5593
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    INDEX
    Explanations

    references to specific amounts of monetary values

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to large financial amounts or economic metrics

    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
     Dull
    -0.73
     Niet
    -0.69
     flair
    -0.64
    mons
    -0.62
     Hubbard
    -0.62
    othy
    -0.62
    ij士
    -0.61
     Ferr
    -0.61
     demeanor
    -0.60
     Vander
    -0.60
    POSITIVE LOGITS
     (£
    1.16
    illion
    1.06
    £
    1.00
    ilion
    0.90
    omination
    0.88
    itte
    0.87
    ulent
    0.80
    imet
    0.80
    ocular
    0.80
    sov
    0.80
    Activations Density 0.013%

    No Known Activations