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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. 4-RES-JB
    11. 19784
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    Explanations

    words related to business operations and procedures

    oai_token-act-pair · gpt-3.5-turbo

    references to operational status or processes

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

    No Comments

    Negative Logits
    hner
    -0.74
    astern
    -0.72
     Fey
    -0.72
    lyn
    -0.71
    Brow
    -0.70
    xual
    -0.69
    llor
    -0.68
    xx
    -0.66
    oning
    -0.66
    Pac
    -0.65
    POSITIVE LOGITS
     tempo
    0.91
     capability
    0.91
    izational
    0.89
     operational
    0.88
    ational
    0.87
     Oper
    0.87
    isable
    0.85
    isations
    0.84
     personnel
    0.83
    ised
    0.82
    Activations Density 0.013%

    No Known Activations