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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. 1-RES-JB
    11. 21337
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    Explanations

    vulgar and explicit language

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers and expletives in casual or vulgar speech

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idon
    -0.89
    ket
    -0.85
    rist
    -0.78
    iry
    -0.75
    ires
    -0.74
    iard
    -0.73
    ts
    -0.72
    Var
    -0.72
    iera
    -0.71
    phal
    -0.71
    POSITIVE LOGITS
     fucking
    1.13
     fuckin
    1.02
     kidding
    0.99
     goddamn
    0.95
     Godd
    0.86
     freaking
    0.84
     damn
    0.81
     fuck
    0.81
     FUCK
    0.81
     piss
    0.79
    Activations Density 0.017%

    No Known Activations