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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. 4-RES-JB
    11. 20234
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    Explanations

    specific years mentioned in a financial context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and financial data related to economic performance

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

    No Comments

    Negative Logits
     lawy
    -0.77
     notor
    -0.73
    yout
    -0.71
     barric
    -0.69
    apixel
    -0.69
    ype
    -0.68
    JR
    -0.67
     parap
    -0.66
    atem
    -0.64
    aughs
    -0.61
    POSITIVE LOGITS
     onwards
    0.88
    regate
    0.81
    terms
    0.79
     GDP
    0.76
    asury
    0.71
    -'
    0.71
     Census
    0.70
     2030
    0.69
     timeframe
    0.67
     onward
    0.66
    Activations Density 0.172%

    No Known Activations