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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. 1-RES-JB
    6. 23786
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    Explanations

    numerical values followed by a specific word or phrase

    oai_token-act-pair · gpt-3.5-turbo

    numeric values, particularly those related to statistics or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tradem
    -1.04
     millenn
    -1.01
    ¥ŀ
    -0.90
    umn
    -0.87
     satell
    -0.78
    ĻĤ
    -0.77
    holders
    -0.77
    psey
    -0.76
    ntil
    -0.76
    secut
    -0.76
    POSITIVE LOGITS
    017
    0.99
    rd
    0.91
     ILCS
    0.88
    007
    0.86
    015
    0.86
    491
    0.83
    çļ
    0.83
    Prince
    0.82
    807
    0.82
    889
    0.82
    Activations Density 0.050%

    No Known Activations