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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. 22810
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    INDEX
    Explanations

    phrases related to financial transactions or payments

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to monthly occurrences or charges

    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
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    Negative Logits
    wright
    -0.91
    lda
    -0.89
    artisan
    -0.88
    phal
    -0.88
    achev
    -0.87
    ghazi
    -0.86
    enes
    -0.85
    erb
    -0.84
    anamo
    -0.82
    illard
    -0.82
    POSITIVE LOGITS
     installments
    1.17
     subscription
    0.95
     payments
    0.93
     occurrence
    0.91
    ized
    0.90
     subscriptions
    0.89
     upkeep
    0.88
     installment
    0.85
     payment
    0.85
     fluctuations
    0.85
    Activations Density 0.052%

    No Known Activations