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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. 9-RES-JB
    11. 23556
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    financial incentives or promotional offers

    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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    unci
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    angular
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    isms
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    eyed
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    Sym
    -0.62
    emic
    -0.62
     billions
    -0.61
    ysc
    -0.61
    POSITIVE LOGITS
    -$
    1.18
     increments
    1.16
    /$
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    0.94
     bonus
    0.93
     vouchers
    0.93
     voucher
    0.91
     reward
    0.91
    USD
    0.88
     rebate
    0.88
    Activations Density 0.160%

    No Known Activations