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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. 2-RES-JB
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    Explanations

    profanity, specifically the word "damn"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "damn" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.85
    Sample
    -0.71
    PT
    -0.68
    x
    -0.68
    ramid
    -0.65
    xes
    -0.63
    APD
    -0.63
    Flight
    -0.63
    lyn
    -0.62
     Enhancement
    -0.62
    POSITIVE LOGITS
     darn
    0.99
     damn
    0.96
     damned
    0.84
    owship
    0.81
    atio
    0.76
    wit
    0.73
     Doodle
    0.71
     goddamn
    0.70
    fuck
    0.70
     Damn
    0.69
    Activations Density 0.008%

    No Known Activations