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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. 7832
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    repeated characters or symbols, indicating emphasis or importance in the text

    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
     extras
    -0.72
     flowering
    -0.72
     nurturing
    -0.69
     disadvant
    -0.68
     Anglo
    -0.66
     shelter
    -0.66
     scattering
    -0.65
     territorial
    -0.65
     Gael
    -0.65
     foreigner
    -0.64
    POSITIVE LOGITS
    s
    1.27
    said
    1.25
    ï¸ı
    1.19
    has
    1.15
    should
    1.13
    would
    1.09
    doesn
    1.08
    could
    1.06
    sent
    1.05
    ski
    1.04
    Activations Density 0.182%

    No Known Activations