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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. 8-RES-JB
    11. 2392
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    phrases related to software development

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "developer" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ibrary
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    ll
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    ¬¼
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    zzi
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    thur
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    POSITIVE LOGITS
    urally
    0.83
    paces
    0.79
    itatively
    0.77
     accelerator
    0.71
     developer
    0.69
    atis
    0.66
    Square
    0.66
     Developers
    0.64
    YC
    0.64
     developers
    0.63
    Activations Density 0.040%

    No Known Activations