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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. 22998
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    Explanations

    references to various bureaus, likely government agencies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various government bureaus

    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
    isks
    -0.71
    vironment
    -0.69
    rained
    -0.68
     Horus
    -0.66
     innocence
    -0.65
     Vader
    -0.64
     Hitler
    -0.64
    wcsstore
    -0.63
    DonaldTrump
    -0.62
    wcs
    -0.62
    POSITIVE LOGITS
    ureau
    1.19
     Bureau
    0.94
    oreal
    0.90
    untu
    0.72
     Headquarters
    0.71
     Merrill
    0.70
    unal
    0.70
    bi
    0.69
    cr
    0.68
    terness
    0.67
    Activations Density 0.012%

    No Known Activations