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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. 10-RES-JB
    6. 8790
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    Explanations

    mentions and references related to academic symposiums or conferences

    oai_token-act-pair · gpt-3.5-turbo

    references to symposiums and conferences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beaver
    -0.65
     WARN
    -0.64
    FUL
    -0.63
    UAL
    -0.62
    ATED
    -0.62
     withholding
    -0.61
     sow
    -0.61
     RAW
    -0.61
     Wisconsin
    -0.58
     canv
    -0.57
    POSITIVE LOGITS
    posium
    1.71
    ptoms
    1.51
    phony
    1.27
    ph
    1.00
    pt
    1.00
    pton
    0.97
    onds
    0.94
    ptic
    0.92
    antics
    0.92
    etric
    0.92
    Activations Density 0.042%

    No Known Activations