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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. 23640
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    Explanations

    mentions of spending money, particularly large or significant amounts

    oai_token-act-pair · gpt-3.5-turbo

    references to spending money and financial amounts

    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
    itta
    -0.66
    comings
    -0.62
    ells
    -0.62
    idences
    -0.60
     HDL
    -0.60
    SourceFile
    -0.60
    oglobin
    -0.60
     cannabin
    -0.59
    occ
    -0.59
    idable
    -0.59
    POSITIVE LOGITS
     wisely
    1.21
     frivol
    1.11
     (£
    0.93
     subsid
    0.92
     ($
    0.91
     dollars
    0.90
     lav
    0.88
     taxpayer
    0.88
     unnecessarily
    0.85
     taxpayers
    0.84
    Activations Density 0.133%

    No Known Activations