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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. 23601
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    INDEX
    Explanations

    action-oriented or decision-making words related to various contexts such as finance, sports, and gaming

    oai_token-act-pair · gpt-3.5-turbo

    references to various roles or participants involved in actions or processes

    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
    YL
    -0.70
    REDACTED
    -0.68
    ;;;;;;;;;;;;
    -0.66
    LOD
    -0.64
    ascar
    -0.63
    achment
    -0.62
    igslist
    -0.62
    bernatorial
    -0.62
     Truth
    -0.60
    TX
    -0.60
    POSITIVE LOGITS
     themselves
    0.76
    mith
    0.73
     everywhere
    0.71
    aurus
    0.69
     programmers
    0.68
     forgot
    0.68
     beware
    0.67
     behaved
    0.67
    poon
    0.66
     reverted
    0.66
    Activations Density 0.308%

    No Known Activations