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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. 17620
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    Explanations

    financial data relating to record highs and lows

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to record highs and lows in financial metrics

    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
    cipl
    -0.74
    onge
    -0.72
     bul
    -0.66
    âĹ¼
    -0.65
     slee
    -0.65
    athe
    -0.64
     rad
    -0.64
    ath
    -0.63
     ul
    -0.62
     parting
    -0.62
    POSITIVE LOGITS
    cies
    0.78
    elsius
    0.75
     Celsius
    0.73
    iffe
    0.73
    fters
    0.69
     ECB
    0.68
    Ĥİ
    0.68
     Holder
    0.67
    bnb
    0.66
    wcs
    0.65
    Activations Density 0.106%

    No Known Activations