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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 19732
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    INDEX
    Explanations

    financial values mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    monetary values or financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sole
    -0.80
    agn
    -0.74
    alys
    -0.73
    soType
    -0.72
     Aval
    -0.71
    warts
    -0.67
    umbn
    -0.66
    strength
    -0.65
    ormal
    -0.64
    powers
    -0.63
    POSITIVE LOGITS
    -$
    1.25
    /$
    0.99
     USD
    0.93
     apiece
    0.92
     (£
    0.92
     annually
    0.81
     worth
    0.81
     per
    0.78
     dollars
    0.78
    USD
    0.77
    Activations Density 0.077%

    No Known Activations