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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. 16053
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media platforms and engagement on them

    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
     grip
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     accelerated
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    ensibly
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    Ö¼
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     hindsight
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    utterstock
    -0.60
    cale
    -0.60
     chained
    -0.60
     vividly
    -0.58
     overhe
    -0.58
    POSITIVE LOGITS
    <|endoftext|>
    1.06
     Alternatively
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     Tickets
    0.82
    tumblr
    0.81
    aspx
    0.80
    php
    0.79
    SOURCE
    0.77
    htm
    0.76
     UNCLASSIFIED
    0.76
     Also
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    Activations Density 0.091%

    No Known Activations