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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. 9-RES-JB
    6. 18745
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     downright
    -0.80
     forgetting
    -0.77
     deserved
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     conceivable
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     frankly
    -0.72
     tremend
    -0.71
     slapping
    -0.71
     smelling
    -0.69
     trusted
    -0.69
     unthinkable
    -0.69
    POSITIVE LOGITS
    <|endoftext|>
    1.50
     Tickets
    1.13
     Coverage
    1.08
     ®
    1.01
     Its
    1.01
     Previous
    1.00
     Previously
    0.98
     Admission
    0.98
     Prior
    0.98
     Additionally
    0.98
    Activations Density 0.321%

    No Known Activations