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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. 13111
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    Explanations

    phrases related to technology and digital formats like filenames, URLs, and software commands

    oai_token-act-pair · gpt-3.5-turbo

    references to formatting or syntax elements typically found in code or structured data

    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
     hopping
    -0.97
     spir
    -0.95
     bonding
    -0.92
     soak
    -0.91
     densely
    -0.91
     sacrific
    -0.89
     ende
    -0.88
     bending
    -0.88
     parting
    -0.88
     eleph
    -0.88
    POSITIVE LOGITS
    Standard
    1.66
    Multi
    1.65
    Generic
    1.64
    Special
    1.64
    Aut
    1.64
    General
    1.64
    Instant
    1.63
    Oper
    1.63
    Advanced
    1.62
    External
    1.62
    Activations Density 0.271%

    No Known Activations