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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. 6-RES-JB
    6. 4538
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    Explanations

    keywords related to instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "just" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Palestin
    -0.75
    egal
    -0.71
     undermin
    -0.68
     Pett
    -0.68
     Archdemon
    -0.63
     seiz
    -0.62
     conflic
    -0.62
     conscientious
    -0.61
     plaintiff
    -0.61
    sac
    -0.60
    POSITIVE LOGITS
    ifications
    0.96
    ifiable
    0.88
     plain
    0.87
     kidding
    0.86
    ices
    0.81
    ijn
    0.81
    ified
    0.79
     FY
    0.78
    ify
    0.77
    IFIC
    0.77
    Activations Density 0.077%

    No Known Activations