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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. 0-RES-JB
    11. 19323
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    Explanations

    patterns resembling ASCII art

    oai_token-act-pair · gpt-3.5-turbo

    various forms of underscores and separators, indicating structured formatting or sections in text

    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
     Franc
    -0.69
     keen
    -0.68
     Fib
    -0.67
     amongst
    -0.66
     Maple
    -0.65
     transfers
    -0.65
     tender
    -0.65
     case
    -0.62
     Sab
    -0.62
     sector
    -0.62
    POSITIVE LOGITS
    ___
    4.00
    ____
    2.95
    _____
    2.89
    _______
    2.69
    ______
    2.51
    ________
    2.46
    ________________________
    2.01
     ___
    2.00
    __
    1.99
    ________________
    1.95
    Activations Density 0.016%

    No Known Activations