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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4951
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    INDEX
    Explanations

    mentions of government officials and political positions

    oai_token-act-pair · gpt-3.5-turbo

    references to government officials or cabinet members

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owicz
    -0.71
     Gim
    -0.68
    Ô
    -0.67
     GOODMAN
    -0.66
    ibaba
    -0.65
    thia
    -0.63
    Ïģ
    -0.63
    iesta
    -0.62
    amples
    -0.61
     Wear
    -0.61
    POSITIVE LOGITS
     secretaries
    1.23
     ministers
    1.11
     appointments
    1.03
    chairs
    0.97
     chairs
    0.93
     nominees
    0.91
     minister
    0.90
     shuffle
    0.90
     Ministers
    0.89
     members
    0.87
    Activations Density 0.021%

    No Known Activations