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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. 0-RES-JB
    6. 17468
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    INDEX
    Explanations

    specific formatting elements in structured data, such as user profiles and percentages

    oai_token-act-pair · gpt-3.5-turbo

    percentage symbols and their related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dinosaur
    -0.62
    Amazon
    -0.59
     orche
    -0.58
    Reviewed
    -0.58
     coax
    -0.57
    flies
    -0.57
     Dak
    -0.56
     overseen
    -0.55
    Jet
    -0.55
     Rex
    -0.53
    POSITIVE LOGITS
     %
    3.79
     (%
    2.38
     %%
    2.07
    %
    1.92
     "%
    1.87
     Percentage
    1.68
    %"
    1.67
     Percent
    1.66
     percentage
    1.62
    %%
    1.61
    Activations Density 0.011%

    No Known Activations