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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 7156
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation or symbols, particularly bullet points and related markers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    udic
    -0.91
    othal
    -0.86
    enthal
    -0.86
    utra
    -0.79
    aimon
    -0.78
    xual
    -0.77
    inki
    -0.76
     undermin
    -0.73
    etermin
    -0.73
    ensical
    -0.72
    POSITIVE LOGITS
    ··
    1.60
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.97
    âĢ¢âĢ¢
    0.96
     ·
    0.95
     Joined
    0.86
    ·
    0.79
     |--
    0.78
    tto
    0.73
    Reviewed
    0.71
    mented
    0.70
    Activations Density 0.004%

    No Known Activations