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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. 3043
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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
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    No Comments

    Negative Logits
    albeit
    -0.83
    cffffcc
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    ãĥĨãĤ£
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    typically
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     alone
    -0.71
    erity
    -0.71
    mouth
    -0.69
    ynes
    -0.69
    HF
    -0.68
    usually
    -0.68
    POSITIVE LOGITS
     how
    1.28
     why
    1.22
     WHY
    0.97
     How
    0.87
    why
    0.86
     HOW
    0.85
     what
    0.85
     whats
    0.80
     selecting
    0.80
     this
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    Activations Density 0.160%

    No Known Activations