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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. 8-RES-JB
    11. 12590
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    Explanations

    expletives or offensive language

    oai_token-act-pair · gpt-3.5-turbo

    instances of profanity or strong expletives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conclud
    -0.75
    BIL
    -0.72
     rece
    -0.71
     Geographic
    -0.69
     membr
    -0.68
     reper
    -0.68
     obser
    -0.66
     screening
    -0.66
     Scotia
    -0.63
    HCR
    -0.62
    POSITIVE LOGITS
    holes
    1.09
    hole
    1.03
    wit
    1.00
    nuts
    0.97
    fuck
    0.96
    bags
    0.94
    lord
    0.91
    bag
    0.89
    ups
    0.89
    yeah
    0.87
    Activations Density 0.027%

    No Known Activations