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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. 19132
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     requisite
    -0.72
     unparalleled
    -0.71
     stabilized
    -0.64
     exemplary
    -0.64
     ample
    -0.63
     resid
    -0.62
    albeit
    -0.62
    nell
    -0.61
    izable
    -0.61
     occupancy
    -0.60
    POSITIVE LOGITS
     unless
    1.16
     yourselves
    1.09
    unless
    1.05
     yourself
    1.01
     Yourself
    0.98
     blindly
    0.94
     EVER
    0.94
     prematurely
    0.91
     unnecessarily
    0.90
     lest
    0.89
    Activations Density 0.315%

    No Known Activations