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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. 7-RES-JB
    11. 18836
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    Explanations

    references to specific organizations and events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of publications and media-related achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ®
    -0.64
    utterstock
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    -0.59
    cli
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     Canaver
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    )?
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    hao
    -0.58
    rians
    -0.56
    POSITIVE LOGITS
     consecut
    0.64
     Juven
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     Airl
    0.56
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    0.55
     Pont
    0.55
     inaugural
    0.55
     tournaments
    0.55
     Jol
    0.55
     prestigious
    0.54
    Activations Density 1.165%

    No Known Activations