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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. 9-RES-JB
    6. 16892
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     reconc
    -0.74
     tremend
    -0.73
    æ©
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     ingred
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     territ
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     bean
    -0.66
    ¥ŀ
    -0.65
     adversaries
    -0.65
     diseng
    -0.65
     manif
    -0.64
    POSITIVE LOGITS
     âĨij
    1.35
     Originally
    1.10
    Originally
    0.91
    Show
    0.88
     Interesting
    0.88
     Regarding
    0.85
     Yeah
    0.84
     Assuming
    0.84
     Whilst
    0.82
     >>
    0.81
    Activations Density 0.059%

    No Known Activations