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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15954
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    Explanations

    words related to physical actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to speed or performance metrics

    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
     LGBTQ
    -0.64
     Sharia
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     LGBT
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     hijab
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     transgender
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     Pepe
    -0.53
     lesbian
    -0.51
    LGBT
    -0.51
    hammad
    -0.51
     Koran
    -0.51
    POSITIVE LOGITS
    lier
    0.65
     (>
    0.63
     pse
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    Bench
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    0.60
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     outl
    0.60
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    0.59
    ivably
    0.58
     GHC
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    Activations Density 1.941%

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