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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. 8-RES-JB
    6. 3251
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    Explanations

    requests or commands for someone to do something

    oai_token-act-pair · gpt-3.5-turbo

    instances of requesting or asking actions

    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
    ggles
    -0.73
    NetMessage
    -0.71
    ggle
    -0.67
    urches
    -0.67
    ctory
    -0.66
     shrug
    -0.65
    itiveness
    -0.64
     instinctively
    -0.64
    +)
    -0.63
     seams
    -0.63
    POSITIVE LOGITS
     someday
    0.94
     ASAP
    0.81
     tomorrow
    0.69
     anonymously
    0.66
     next
    0.63
     Ghostbusters
    0.62
     «
    0.62
    ãĥĩ
    0.62
     drawings
    0.61
     Cipher
    0.61
    Activations Density 0.965%

    No Known Activations