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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. 10-RES-JB
    11. 1186
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    Explanations

    references to monthly time periods or activities

    oai_token-act-pair · gpt-3.5-turbo

    recurring time periods indicated by the word "monthly"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lda
    -0.88
    artisan
    -0.84
    ghazi
    -0.83
    dinand
    -0.82
    phal
    -0.81
    wright
    -0.81
    enes
    -0.79
    xual
    -0.79
    achev
    -0.78
    liga
    -0.76
    POSITIVE LOGITS
     installments
    1.17
     allowance
    1.01
     subscription
    0.97
     dose
    0.96
     upkeep
    0.94
     occurrence
    0.93
     allot
    0.93
     payments
    0.93
     basis
    0.92
     newsletter
    0.90
    Activations Density 0.047%

    No Known Activations