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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. 22545
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    Explanations

    texts containing notes or messages left for someone

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "note."

    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
    eatures
    -0.75
    emouth
    -0.74
    ãĥĩ
    -0.73
    rates
    -0.70
    heed
    -0.68
    anooga
    -0.68
    namese
    -0.67
    imates
    -0.67
    imated
    -0.67
    slaught
    -0.66
    POSITIVE LOGITS
    BOOK
    1.12
    book
    1.04
    books
    1.02
     Keeper
    0.93
    ably
    0.91
    notes
    0.86
    manship
    0.78
     note
    0.74
    Pad
    0.72
     notes
    0.70
    Activations Density 0.016%

    No Known Activations