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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. 5498
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    Explanations

    accusations or blame directed towards individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of blame and accusations directed at individuals, groups, or entities

    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
    æĸ¹
    -0.78
    redo
    -0.69
    OSH
    -0.69
    erves
    -0.65
    daq
    -0.65
     largeDownload
    -0.64
    ibaba
    -0.63
     welcomes
    -0.63
    iosis
    -0.61
    areth
    -0.61
    POSITIVE LOGITS
     inaction
    0.88
    à¨
    0.80
    ãĥ³ãĤ¸
    0.79
     faulty
    0.68
     coward
    0.67
     negligence
    0.66
    ackers
    0.65
     traffickers
    0.65
     accuser
    0.64
     cowardly
    0.64
    Activations Density 0.337%

    No Known Activations