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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. 11-RES-JB
    11. 9237
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    Explanations

    keywords related to financial matters, particularly revenue and taxes

    oai_token-act-pair · gpt-3.5-turbo

    references to financial revenue and income streams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.90
    POS
    -0.79
    rane
    -0.76
    ovie
    -0.74
    ierre
    -0.70
    rouch
    -0.68
    unin
    -0.67
     Barber
    -0.66
    ruck
    -0.65
    regor
    -0.64
    POSITIVE LOGITS
     streams
    1.31
     stream
    1.07
     revenue
    1.00
     revenues
    0.99
     shortfall
    0.99
     generated
    0.97
     receipts
    0.90
     sharing
    0.89
     coffers
    0.89
     attributable
    0.87
    Activations Density 0.051%

    No Known Activations