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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. 0-RES-JB
    6. 8051
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    INDEX
    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and their associated cases or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pac
    -0.85
    Pac
    -0.80
     Xen
    -0.78
     Kali
    -0.77
     cy
    -0.77
    hide
    -0.76
    00200000
    -0.75
     Berm
    -0.75
    Cr
    -0.73
     barb
    -0.71
    POSITIVE LOGITS
     Ramsey
    2.80
     Ramsay
    1.45
     Rooney
    1.32
     Fay
    1.13
     Katz
    1.09
     Weiss
    1.05
    Weiss
    1.01
     Myers
    1.00
    json
    0.98
     manslaughter
    0.97
    Activations Density 0.038%

    No Known Activations