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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. 9-RES-JB
    11. 18276
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    Explanations

    references to large quantities of money or funds

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating large quantities of money or resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dict
    -0.63
    hunt
    -0.62
    NET
    -0.62
    assium
    -0.59
    law
    -0.57
     Duo
    -0.57
    wikipedia
    -0.56
     solicitation
    -0.56
    wcs
    -0.56
    Fram
    -0.56
    POSITIVE LOGITS
     thousands
    1.63
     millions
    1.29
     billions
    1.20
     thous
    1.19
     thousand
    1.15
     trillions
    1.05
     Thousands
    1.05
     dollars
    1.02
     kilometres
    1.00
     pounds
    0.99
    Activations Density 0.041%

    No Known Activations