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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. 21886
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    Explanations

    specific numbers in the context of descriptions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific projects or initiatives being discussed

    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
    Not in Any Lists

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    Negative Logits
     suppose
    -0.76
     namely
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    \'
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     certainly
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    ingly
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     alike
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    !!!
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    ettings
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    ???
    -0.65
    POSITIVE LOGITS
     remainder
    1.25
     entire
    1.09
     same
    1.08
     entirety
    1.07
     next
    1.07
     upcoming
    1.05
     nation
    0.99
     rest
    0.98
     fullest
    0.98
     foreseeable
    0.97
    Activations Density 0.828%

    No Known Activations