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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. 15550
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    Explanations

    numeric identifiers within strings

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific keywords and identifiers

    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
     Sally
    -0.83
     Ler
    -0.77
     Sz
    -0.76
     Stew
    -0.75
     Ens
    -0.72
     Elise
    -0.71
     Sigma
    -0.70
     Sak
    -0.70
     Isle
    -0.69
     Ell
    -0.69
    POSITIVE LOGITS
    b
    1.47
    bs
    1.39
    bis
    1.29
    ber
    1.28
    bb
    1.27
    bol
    1.26
    ba
    1.25
    bish
    1.23
    bral
    1.20
    bi
    1.19
    Activations Density 0.222%

    No Known Activations