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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. 197
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    Explanations

    expletives and offensive language

    oai_token-act-pair · gpt-3.5-turbo

    profanity and strong language expressions

    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
     mosqu
    -0.74
     conduc
    -0.69
    utterstock
    -0.67
     ancest
    -0.65
     Serving
    -0.65
     elig
    -0.64
     Passage
    -0.64
    inel
    -0.64
     Procedures
    -0.63
     pestic
    -0.63
    POSITIVE LOGITS
    hole
    1.14
    holes
    1.10
    tty
    1.06
    cking
    1.03
    gger
    1.03
    shit
    1.03
    king
    1.01
    ked
    0.97
    tch
    0.96
    kers
    0.96
    Activations Density 0.051%

    No Known Activations