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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. 137
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    Explanations

    terms related to industrialization and industrial revolution

    oai_token-act-pair · gpt-3.5-turbo

    terms related to industrial contexts and practices

    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
     Recomm
    -0.76
    EStream
    -0.75
    words
    -0.72
    Downloadha
    -0.71
    cific
    -0.71
    forth
    -0.70
    ippi
    -0.69
    quote
    -0.69
    lihood
    -0.68
    pher
    -0.67
    POSITIVE LOGITS
    ization
    0.99
    ised
    0.99
     conglomerate
    0.99
    ized
    0.91
    industrial
    0.90
    ists
    0.89
    izational
    0.89
     hemp
    0.87
     conglomer
    0.86
     industrial
    0.85
    Activations Density 0.012%

    No Known Activations