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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. 9-RES-JB
    11. 23300
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    INDEX
    Explanations

    mentions of government officials or positions

    oai_token-act-pair · gpt-3.5-turbo

    titles or positions related to legal or governmental roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.73
    iland
    -0.66
    rero
    -0.64
     selves
    -0.63
     palm
    -0.61
     trem
    -0.61
     ful
    -0.61
    ashtra
    -0.60
    kinson
    -0.59
     remem
    -0.58
    POSITIVE LOGITS
     Ake
    0.72
    ector
    0.70
    geon
    0.66
    andestine
    0.65
     Marshal
    0.64
    lyak
    0.64
    vironments
    0.64
     Sed
    0.64
    auld
    0.64
    ciplinary
    0.64
    Activations Density 0.131%

    No Known Activations