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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. 20768
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    Explanations

    combinations of symbols and characters that appear in mathematical or coding contexts

    oai_token-act-pair · gpt-3.5-turbo

    special characters and symbols within the text

    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
    creen
    -0.73
     Borders
    -0.73
    kens
    -0.69
     Mutual
    -0.66
     Pie
    -0.65
    ktop
    -0.64
     Jenner
    -0.64
     externalToEVAOnly
    -0.62
     Thin
    -0.60
     sclerosis
    -0.60
    POSITIVE LOGITS
    ģ
    1.50
    ĥ
    1.44
    ī
    1.42
    Ģ
    1.41
    Ĥ
    1.32
    ĭ
    1.24
    ij
    1.23
    ĩ
    1.23
    ı
    1.20
    Ĩ
    1.18
    Activations Density 0.004%

    No Known Activations