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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. 3-RES-JB
    11. 15827
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    INDEX
    Explanations

    patterns of hexadecimal numbers

    oai_token-act-pair · gpt-3.5-turbo

    hexadecimal color codes and numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alys
    -0.92
    annis
    -0.83
     clipboard
    -0.75
    steen
    -0.75
     stead
    -0.75
    geon
    -0.75
    stood
    -0.75
    esville
    -0.72
    yrics
    -0.71
    aws
    -0.70
    POSITIVE LOGITS
    0000
    1.10
    00000
    1.09
    0000000
    1.02
    1001
    0.98
     00000000
    0.96
    1100
    0.93
    000000
    0.92
    9999
    0.90
    8000
    0.90
    0100
    0.90
    Activations Density 0.025%

    No Known Activations