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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. 7-RES-JB
    11. 21432
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    Explanations

    references to interest rates

    oai_token-act-pair · gpt-3.5-turbo

    references to interest rates and their fluctuations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istar
    -0.83
    Interstitial
    -0.81
     Flavoring
    -0.79
    iak
    -0.77
    nee
    -0.76
    iana
    -0.76
    gal
    -0.75
    emis
    -0.73
    nen
    -0.73
    ija
    -0.72
    POSITIVE LOGITS
    payers
    1.13
    payer
    1.09
     payable
    0.99
     adjustment
    0.87
     fluct
    0.82
     fluctuations
    0.82
     adjustments
    0.80
     volatility
    0.78
     payments
    0.77
     sharply
    0.77
    Activations Density 0.035%

    No Known Activations