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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. 14294
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    oai_token-act-pair · gpt-3.5-turbo

    technical specifications and numerical measurements

    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
    etheless
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     Kaplan
    -0.34
    uzz
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     Canaver
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    ©¶æ
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     Tsarnaev
    -0.32
     Rosenthal
    -0.31
     Bonnie
    -0.30
     Corbyn
    -0.30
     Trudeau
    -0.30
    POSITIVE LOGITS
     [|
    0.40
    Ü
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     ......
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    omach
    0.32
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    åĤ
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     physic
    0.31
     datas
    0.30
     Instr
    0.29
     paraly
    0.29
    Activations Density 5.585%

    No Known Activations