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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. 11-RES-JB
    11. 388
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    INDEX
    Explanations

    number patterns and mathematical operations, especially involving hexadecimal notation

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and programming-related syntax in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.75
     Attribution
    -0.69
     Intelligent
    -0.64
     Legislation
    -0.63
     Compensation
    -0.62
    hens
    -0.59
    iott
    -0.57
     Arlington
    -0.57
     Confeder
    -0.56
     Ging
    -0.56
    POSITIVE LOGITS
    0000000
    1.25
    000000
    1.23
    0000
    1.11
    00000
    1.09
    0000000000000000
    1.06
     externalToEVAOnly
    1.04
    px
    1.01
    00000000
    0.99
    xff
    0.97
    200000
    0.96
    Activations Density 0.085%

    No Known Activations