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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. 11-RES-JB
    11. 7135
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    Explanations

    mentions of exceptions being thrown in a programming context

    oai_token-act-pair · gpt-3.5-turbo
    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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    Negative Logits
     eleph
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    aditional
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     exting
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     metic
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     undermin
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     tremend
    -0.81
     oun
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    ò
    -0.80
     proport
    -0.79
     occas
    -0.77
    POSITIVE LOGITS
    NPR
    0.72
    neau
    0.70
    Scroll
    0.69
    esi
    0.68
    ↵
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    \":
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    rou
    0.66
    dk
    0.65
    pmwiki
    0.65
    Isn
    0.65
    Activations Density 0.605%

    No Known Activations