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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. 3-RES-JB
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    references to Members of the European Parliament (MEPs) and topics related to VAT (value-added tax)

    oai_token-act-pair · gpt-3.5-turbo

    references to Members of the European Parliament (MEPs) and VAT-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    caps
    -0.75
    thritis
    -0.72
     Indians
    -0.69
    ifiers
    -0.66
     Iro
    -0.64
    ifier
    -0.63
     Oriental
    -0.62
     Yosemite
    -0.61
    away
    -0.61
     Tsukuyomi
    -0.61
    POSITIVE LOGITS
    itte
    1.10
    sburg
    0.91
     MEP
    0.84
    £ı
    0.83
    htaking
    0.82
    sylv
    0.81
    artisan
    0.79
    swer
    0.76
    llor
    0.76
    resso
    0.74
    Activations Density 0.022%

    No Known Activations