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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. 1-RES-JB
    11. 20668
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    INDEX
    Explanations

    financial and numerical data patterns

    oai_token-act-pair · gpt-3.5-turbo

    negative or positive numerical indicators, particularly in relation to percentages and rates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.79
    okin
    -0.70
    soDeliveryDate
    -0.70
    arer
    -0.67
    arians
    -0.64
    agra
    -0.63
    ars
    -0.62
     fid
    -0.62
     Mills
    -0.62
     Bhar
    -0.59
    POSITIVE LOGITS
     (-
    1.12
    /-
    1.11
     (+
    1.04
     [+
    0.99
    throp
    0.81
     (âĪĴ
    0.80
     (/
    0.80
    /+
    0.78
    _-
    0.74
    visor
    0.69
    Activations Density 0.002%

    No Known Activations