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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2071
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    Explanations

    profane or offensive language

    oai_token-act-pair · gpt-3.5-turbo

    instances of expletives or strong language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irms
    -0.69
    esthesia
    -0.66
    eting
    -0.66
     breeze
    -0.65
    onymous
    -0.64
     intrusion
    -0.64
    eca
    -0.64
    xual
    -0.62
     spelling
    -0.62
    acles
    -0.62
    POSITIVE LOGITS
    **
    0.99
    ***
    0.90
    ãĥĥãĥī
    0.79
    cause
    0.79
    @@@@@@@@
    0.74
    URI
    0.73
    adr
    0.73
    ********************************
    0.73
    ****
    0.72
    keeper
    0.72
    Activations Density 0.050%

    No Known Activations