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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. 1-RES-JB
    11. 16016
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    Explanations

    mentions of specific models of technology products

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the MacBook product line

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     promoter
    -0.80
     Physicians
    -0.68
    SPONSORED
    -0.68
    govtrack
    -0.68
     promoters
    -0.65
     Petr
    -0.65
     cruc
    -0.64
     Wick
    -0.64
    GBT
    -0.63
     Judaism
    -0.63
    POSITIVE LOGITS
     MacBook
    1.38
    intosh
    1.20
     laptops
    0.88
    pad
    0.87
     laptop
    0.85
    puter
    0.85
    ©¶æ¥µ
    0.84
    gements
    0.84
     Macintosh
    0.84
     lapt
    0.83
    Activations Density 0.004%

    No Known Activations