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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. 1954
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    INDEX
    Explanations

    large numbers in the context of finance and economics

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial statistics

    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
     Gors
    -0.82
    umbn
    -0.79
     Pend
    -0.71
     exerc
    -0.71
     Tall
    -0.71
    ulhu
    -0.70
     Intervention
    -0.69
     Halls
    -0.66
     Sed
    -0.65
    Reviewer
    -0.65
    POSITIVE LOGITS
    $$
    1.22
    100
    1.12
    USD
    1.10
    500
    1.08
    300
    1.07
    200
    1.04
    false
    1.03
    400
    1.01
    $$$$
    1.01
    250
    0.99
    Activations Density 0.080%

    No Known Activations