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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. 11-RES-JB
    6. 8073
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    INDEX
    Explanations

    references to books or written works

    oai_token-act-pair · gpt-3.5-turbo

    references to books and their authors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fax
    -0.84
    ime
    -0.78
    outube
    -0.71
    vd
    -0.71
    udeb
    -0.68
    ct
    -0.65
    aples
    -0.65
    hesda
    -0.65
    DERR
    -0.65
     webcam
    -0.64
    POSITIVE LOGITS
     Capitalism
    1.24
     Principles
    1.23
     Understanding
    1.21
     Thinking
    1.21
     Reasons
    1.20
     Shattered
    1.14
     Killing
    1.12
     Saving
    1.12
     Bringing
    1.10
     Secrets
    1.09
    Activations Density 0.157%

    No Known Activations