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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. 6-RES-JB
    6. 44
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    Explanations

    answers to questions and justifications

    oai_token-act-pair · gpt-3.5-turbo

    sentences that pose questions or provide explanations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apixel
    -0.85
     torch
    -0.78
    geon
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    iership
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    jer
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     stret
    -0.73
    handle
    -0.71
    alon
    -0.71
    usha
    -0.71
    wn
    -0.70
    POSITIVE LOGITS
    ecause
    0.90
     reasons
    0.86
    cause
    0.80
    Reason
    0.80
    ======
    0.80
    Because
    0.80
     jealousy
    0.78
    ========
    0.78
    ============
    0.77
    Cause
    0.75
    Activations Density 0.228%

    No Known Activations